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%AuthorShort% %RefShort% 2024
Asynchronous Evolution of Deep Neural Network Architectures Jason Liang, Hormoz Shahrzad, Risto Miikkulainen Applied Soft Computing, 152:111209, 2024. Also arXiv:2308:04102. 2024
Discovering Effective Policies for Land-Use Planning with Neuroevolution Risto Miikkulainen, Olivier Francon, Daniel Young, Elliot Meyerson, Clemens Schwingshackl, Jacob Bi... arXiv:2311.12304, 2024. (A shorter version appeared in the Proceedings of the NeurIPS 2023 ... 2024
Domain-Independent Lifelong Problem Solving through Distributed Alife Actors Babak Hodjat, Hormoz Shahrzad, and Risto Miikkulainen Artificial Life, 30:359-276, 2024. 2024
From Sensory Input to Cognitive Maps: Exploring the Significance of Spatial Representations in Artificial Hippocampal Models Margaret Cordelia von Ebers Masters Thesis, Department of Computer Science, The University of Texas at Austin, Austin, TX, 202... 2024
Generative AI: An AI Paradigm Shift in the Making? Risto Miikkulainen AI Magazine:1-3, February 2024. https://doi.org/10.1002/aaai.12155. 2024
GPU-Accelerated Rule Evaluation and Evolution Hormoz Shahrzad and Risto Miikkulainen arXiv:2406.01821, 2024. 2024
NeuroComb: Improving SAT Solving with Graph Neural Networks Wenxi Wang, Yang Hu, Mohit Tiwari, Sarfraz Khurshid, Kenneth McMillan, Risto Miikkulainen In Proceedings of the International Conference on Learning Representations, 2024. (also arX... 2024
Optimizing the Design of an Artificial Pancreas to Improve Diabetes Management Ashok Khanna, Olivier Francon, and Risto Miikkulainen arXiv:2402.07949, 2024. 2024
Semantic Density: Uncertainty Quantification in Semantic Space for Large Language Models Xin Qiu, Risto Miikkulainen In Proceedings of the 38th Conference on Neural Information Processing Systems, 2024. (also... 2024
Unlocking the Potential of Global Human Expertise Elliot Meyerson, Olivier Francon, Darren Sargent, Babak Hodjat, and Risto Miikkulainen In Proceedings of the 38th Conference on Neural Information Processing Systems (NeurIPS 2024)... 2024
Using context to adapt to sensor drift Jamieson Warner, Ashwin Devaraj, and Risto Miikkulainen In Proceedings of the International Conference on Development and Learning (ICDL 2024), 202... 2024
Accelerating Evolution Through Gene Masking and Distributed Search Hormoz Shahrzad and Risto Miikkulainen To Appear In Proceedings of the Genetic and Evolutionary Computation Conference, 972-980, 2... 2023
Accelerating Evolution Through Gene Masking and Distributed Search Hormoz Shahrzad Masters Thesis, Department of Computer Science, The University of Texas at Austin, Austin, TX, 202... 2023
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks Garrett Bingham and Risto Miikkulainen In Proceedings of the 37th AAAI Conference on Artificial Intelligence, 2023. (also arXiv:20... 2023
Efficient Activation Function Optimization through Surrogate Modeling Garrett Bingham and Risto Miikkulainen In Proceedings of the 23rd Conference on Neural Information Processing Systems (NeurIPS 2023)... 2023
Evolutionary Supervised Machine Learning Risto Miikkulainen In W. Banzhaf, P. Machado, and M. Zhang, editors, Handbook of Evolutionary Machine Learning, ... 2023
Evolving Deep Neural Networks Risto Miikkulainen, Jason Liang, Elliot Meyerson, Aditya Rawal, Dan Fink, Olivier Francon, Bala Raju... To Appear In R. Kozma, C. Alippi, Y. Choe, and F. Morabito, editors, Artificial Intelligence in t... 2023
Evolving GAN Formulations for Higher Quality Image Synthesis Santiago Gonzalez, Mohak Kant, and Risto Miikkulainen To Appear In R. Kozma, C. Alippi, Y. Choe, and F. C. Morabito, editors, Artificial Intelligence i... 2023
Evolving Strategies for Competitive Multi-Agent Search Erkin Bahceci, Riitta Katila, and Risto Miikkulainen arXiv:2306.10640, 2023. 2023
Modeling Bilingualism as a Dynamic Phenomenon in Healthy and Neurologically Affected Speakers Across the Lifespan (Commentary) Claudia Penaloza, Uli Grasemann, Risto Miikkulainen, Swathi Kiran Language Learning, ., 2023. https://doi.org/10.1111/lang.12566. 2023
Neuroevolution Tutorial Risto Miikkulainen %RefShort% 2023
Optimizing Neural Networks through Activation Function Discovery and Automatic Weight Initialization Garrett Bingham PhD Thesis, Department of Computer Science, The University of Texas at Austin, May 2023. 2023
Pandemic Resilience: Developing an AI-calibrated Ensemble of Models to Inform Decision Making GPAI Technical Report, Global Partnership on Artificial Intelligence, December 2023. 2023
Shortest Edit Path Crossover: A Theory-driven Solution to the Permutation Problem in Evolutionary Neural Architecture Search Xin Qiu and Risto Miikkulainen In Proceedings of the International Conference on Machine Learning (ICML-2023)( ), 2023. Al... 2023
What AI Can Do for Neuroscience: Understanding How the Brain Represents Word Meanings Nora Aguirre-Celis and Risto Miikkulainen In Manuel Cebral-Loureda, Elvira G. Rincon-Flores, and Gildardo Sanchez-Ante, editors, What AI Ca... 2023
Adapting to Unseen Driving Conditions Using Context-Aware Neural Networks Suhaib Abdulquddos Masters Thesis, Department of Computer Science, The University of Texas at Austin, Austin, Texas, De... 2022
Biological Underpinnings of Lifelong Learning Machines D. Kudithipudi, M. Aguilar-Simon, J. Babb, M. Bazhenov, D. Blackiston, J. Bongard, A. P. Brna, S. C.... Nature Machine Intelligence, 4, 2022. 2022
Constructing Individualized Computational Models for Dementia Patients Peggy Fidelman, Uli Grasemann, Claudia Penaloza, Michael Scimeca, Yakeel T. Quiroz, Swathi Kiran, Ri... In Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022. 2022
Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model Xin Qiu and Risto Miikkulainen In Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI-2022), 2022. (A... 2022
DIAS: A Domain-Independent Alife-Based Problem-Solving System Babak Hodjat, Hormoz Shahrzad, Risto Miikkulainen In Proceedings of the 2022 Conference on Artificial Life, 2022. 2022
Discovering Parametric Activation Functions Garrett Bingham and Risto Miikkulainen Neural Networks, 148:48-65, 2022. 2022
Effective Mutation Rate Adaptation through Group Elite Selection Akarsh Kumar, Bo Liu, Risto Miikkulainen, and Peter Stone In Proceedings of the Genetic and Evolutionary Computation Conference, 2022. (also arXiv:22... 2022
Evolution of Transparent Explainable Rule-sets Hormoz Shahrzad, Babak Hodjat, and Risto Miikkulainen arXiv:2204.10438, 2022. 2022
How the Brain Dynamically Constructs Sentence-Level Meanings From Word-Level Features Nora Aguirre-Celis and Risto Miikkulainen In Frontiers in Artificial Intelligence, 2022. 2022
Neuroevolution Risto Miikkulainen To Appear In Dinh Phung, Claude Sammut and Geoffrey I. Webb, editors, Encyclopedia of Machine Lea... 2022
Simple Genetic Operators are Universal Approximators of Probability Distributions (and other Advantages of Expressive Encodings) Elliot Meyerson, Xin Qiu, and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 739--748, 2022. 2022
A Biological Perspective on Evolutionary Computation Risto Miikkulainen and Stephanie Forrest Nature Machine Intelligence, 3:9-15, 2021. 2021
Creative AI through Evolutionary Computation: Principles and Examples Risto Miikkulainen SN Computer Science, 2:163, 2021. 2021
Effective Regularization Through Loss-Function Metalearning Santiago Gonzalez and Risto Miikkulainen In arXiv:2010.00788, 2021. 2021
Evaluating Medical Aesthetics Treatments through Evolved Age-Estimation Models Risto Miikkulainen, Elliot Meyerson, Xin Qiu, Ujjayant Sinha, Raghav Kumar, Karen Hofmann, Yiyang Ma... In Proceedings of the Genetic and Evolutionary Computation Conference, 1009–1017, 2021. 2021
From Prediction to Prescription: Evolutionary Optimization of Non-Pharmaceutical Interventions in the COVID-19 Pandemic Risto Miikkulainen, Olivier Francon, Elliot Meyerson, Xin Qiu, Darren Sargent, Elisa Canzani, Babak ... To Appear In IEEE Transactions on Evolutionary Computation, 25:386-401, 2021. 2021
From Words to Sentences and Back: Characterizing Context-dependent Meaning Representations in the Brain Nora Aguirre-Celis a.k.a. Nora E. Aguirre Sampayo PhD Thesis, Instituto Tecnologico y de Estudios Superiores de Monterrey, Monterrey, Mexico, December... 2021
Generalization of Agent Behavior through Explicit Representation of Context Cem Tutum, Suhaib Abdulquddos, Risto Miikkulainen In Proceedings of the 3rd IEEE Conference on Games( ), 2021. 2021
Improving Neural Network Learning Through Dual Variable Learning Rates Elizabeth Liner, Risto Miikkulainen In Proceedings of the International Joint Conference on Neural Networks, 2021. 2021
Neuroevolution: A Synergy of Evolution and Learning Risto Miikkulainen , 2021. Plenary presentation at the Congress for Evolutionary Computation (CEC'21). 2021
Optimizing Loss Functions Through Multivariate Taylor Polynomial Parameterization Santiago Gonzalez and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 305-313, 2021. 2021
Predicting language treatment response in bilingual aphasia using neural network-based patient models Uli Grasemann, Claudia Peñaloza, Maria Dekhtyar, Risto Miikkulainen, and Swathi Kiran Scientific Reports, 11(10497):1-11, 2021. 2021
Regularized Evolutionary Population-Based Training Jason Liang, Santiago Gonzalez, Hormoz Shahrzad, and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 323-331, 2021. 2021
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings Elliot Meyerson and Risto Miikkulainen To Appear In International Conference on Learning Representations, 2021. 2021
Understanding the Semantic Space: How Word Meanings Dynamically Adapt in the Context of a Sentence Nora Aguirre-Celis and Risto Miikkulainen In Proceedings of the Workshop on Semantic Spaces at the Intersection of NLP, Physics, and Cognit... 2021
A Comparison of the Taguchi Method and Evolutionary Optimization in Multivariate Testing Jingbo Jiang, Diego Legrand, Robert Severn, and Risto Miikkulainen In Proceedings of the 2020 IEEE Congress on Evolutionary Computation, 2020. 2020
Adapting to Unseen Environments through Explicit Representation of Context Cem C Tutum, Risto Miikkulainen In Proceedings of the 2020 Conference on Artificial Life (ALIFE 2020), 581--588, Montreal, Ca... 2020
Ascend by Evolv: AI-Based Massively Multivariate Conversion Rate Optimization Risto Miikkulainen, Myles Brundage, Jonathan Epstein, Tyler Foster, Babak Hodjat, Neil Iscoe, Jingbo... AI Magazine, 41:44-60, 2020. 2020
Characterizing Dynamic Word Meaning Representations in the Brain Nora Aguirre-Celis and Risto Miikkulainen In Proceedings of the 6th Workshop on Cognitive Aspects of the Lexicon (CogALex-VI), Barcelon... 2020
Characterizing the Effect of Sentence Context on Word Meanings: Mapping Brain to Behavior Nora Aguirre-Celis and Risto Miikkulainen arXiv:2007.13840, July 2020. 2020
Creative AI Through Evolutionary Computation Risto Miikkulainen To Appear In Banzhaf et al., editors, Evolution in Action: Past, Present and Future, New York... 2020
Effective Reinforcement Learning through Evolutionary Surrogate-Assisted Prescription Olivier Francon, Santiago Gonzalez, Babak Hodjat, Elliot Meyerson, Risto Miikkulainen, Xin Qiu, Horm... In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2020), 2020. 2020
Enhanced Optimization with Composite Objectives and Novelty Pulsation Hormoz Shahrzad, Babak Hodjat, Camille Dolle, Andrei Denissov, Simon Lau, Donn Goodhew, Justin Dyer,... To Appear In Genetic Programming Theory and Practice XVII, 2020. Springer, New York. 2020
Evolution of Complex Coordinated Behavior Padmini Rajagopalan, Kay E. Holekamp and Risto Miikkulainen In 2020 IEEE Congress on Evolutionary Computation (CEC), July 2020. 2020
Evolutionary Optimization of Deep Learning Activation Functions Garrett Bingham, William Macke, and Risto Miikkulainen In Genetic and Evolutionary Computation Conference (GECCO '20), 289-296, Cancun, Mexico, 20... 2020
From Nodes to Networks: Evolving Recurrent Neural Networks Aditya Rawal, Risto Miikkulainen In H. Iba and N. Noman, editors, Deep Neural Evolution: Deep Learning with Evolutionary Computati... 2020
Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization Santiago Gonzalez and Risto Miikkulainen In Proceedings of the 2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, July 2020. 2020
Improving Deep Learning Through Loss-Function Evolution Santiago Gonzalez PhD Thesis, Department of Computer Science, The University of Texas at Austin, 2020. 2020
MDEA: Malware Detection with Evolutionary Adversarial Learning Xiruo Wang, Risto Miikkulainen In Proceedings of the 2020 IEEE Congress on Evolutionary Computation, 2020. 2020
Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel Xin Qiu, Elliot Meyerson, Risto Miikkulainen In International Conference on Learning Representations, 2020. 2020
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings Elliot Meyerson and Risto Miikkulainen arxiv:2010.02354, October 2020. 2020
Designing Neural Networks through Evolutionary Algorithms Kenneth O. Stanley, Jeff Clune, Joel Lehman, and Risto Miikkulainen Nature Machine Intelligence, 1:24–35, 2019. 2019
Better Future through AI: Avoiding Pitfalls and Guiding AI Towards its Full Potential Risto Miikkulainen, Bret Greenstein, Babak Hodjat, Jerry Smith arxiv:1905.13178, 2019. 2019
BiLex: A computational approach to the effects of age of acquisition and language exposure on bilingual lexical access Claudia Peñaloza, Uli Grasemann, Maria Dekhtyar, Risto Miikkulainen, and Swathi Kiran Brain and Language, 195(104643), 2019. 2019
Data Augmentation for Deep Transfer Learning Cameron R. Wolfe and Keld T. Lundgaard , December 2019. 2019
Discretization of Game Space by Environment Attributes Alexander Braylan and Risto Miikkulainen To Appear In The 2nd Knowledge Extraction from Games Workshop, 2019. AAAI. 2019
Enhancing Evolutionary Conversion Rate Optimization via Multi-armed Bandit Algorithms Xin Qiu and Risto Miikkulainen In Proceedings of the 31st Conference on Innovative Applications of Artificial Intelligence, ... 2019
Evolutionary Neural AutoML for Deep Learning Jason Liang, Elliot Meyerson, Babak Hodjat, Dan Fink, Karl Mutch, and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2019), 401–409... 2019
Evolutionary Optimization of Neural-Network Models of Human Behavior Uli Grasemann, Risto Miikkulainen, Claudia Peñaloza, Maria Dekhtyar, and Swathi Kiran In Proceedings of the International Conference on Cognitive Modeling, 2019. 2019
Evolving Deep Neural Networks Risto Miikkulainen, Jason Liang, Elliot Meyerson, Aditya Rawal, Dan Fink, Olivier Francon, Bala Raju... In Robert Kozma, Cesare Alippi, Yoonsuck Choe, and Francesco Carlo Morabito, editors, Artificial ... 2019
Factors that Affect the Evolution of Complex Cooperative Behavior Padmini Rajagopalan, Kay E. Holekamp and Risto Miikkulainen In The 2019 Conference on Artificial Life (ALIFE 2019), 333--340, July 2019. 2019
Faster Training by Selecting Samples Using Embeddings Santiago Gonzalez, Joshua Landgraf, and Risto Miikkulainen In Proceedings of the 2019 International Joint Conference on Neural Networks, 1-7, Budapest, ... 2019
Flavor-cyber-agriculture: Optimization of plant metabolites in an open-source control environment through surrogate modeling Arielle J. Johnson, Elliot Meyerson, John de la Parra, Timothy L. Savas, Risto Miikkulainen, Caleb B... bioRxiv:424226, , 2019. 2019
Functional Generative Design of Mechanisms with Recurrent Neural Networks and Novelty Search Cameron R. Wolfe, Cem C. Tutum and Risto Miikkulainen To Appear In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2019),... 2019
Implementing evolutionary optimization to model resting state functional connectivity Kaitlin Maile, Risto Miikkulainen, and Manish Saggar In Society for Neuroscience Abstracts, 2019. Society for Neuroscience. 2019
MDEA: Malware Detection with Evolutionary Adversarial Learning Xiruo Wang Masters Thesis, Department of Computer Science, The University of Texas at Austin, 2019. 2019
Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains Elliot Meyerson and Risto Miikkulainen In 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), 2019. 2019
Object-model transfer in the general video game domain Alexander Braylan Masters Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, Texas, 2... 2019
Quantifying the Conceptual Combination Effect on Word Meanings Nora Aguirre-Celis and Risto Miikkulainen In Proceedings of the 41th Annual Meeting of the Cognitive Science Society, Montreal, CA, Ju... 2019
Tradeoffs in Neuroevolutionary Learning-Based Real-Time Robotic Task Design in the Imprecise Computation Framework Pei-Chi Huang, Luis Sentis, Joel Lehman, Chien-Liang Fok, Aloysius K. Mok, Risto Miikkulainen ACM Transactions on Cyber-Physical Systems, 3, 2019. DOI 0.1145/3178903. 2019
A Neuroevolutionary Approach to Adaptive Multi-agent Teams Bobby D. Bryant and Risto Miikkulainen In H. A. Abbass and J. Scholz and D. J. Reid, editors, Foundations of Trusted Autonomy, 87-11... 2018
Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering Elliot Meyerson and Risto Miikkulainen In Proceedings of the Sixth International Conference on Learning Representations (ICLR), Vanc... 2018
Combining fMRI Data and Neural Networks to Quantify Contextual Effects in the Brain Nora Aguirre-Celis and Risto Miikkulainen In Shouyi Wang, Vicky Yamamoto, Jianzhong Su, Yang Yang, Eric Jones, Leon Iasemidis, Tom Mitchell, e... 2018
Discovering Gated Recurrent Neural Network Architectures Aditya Rawal PhD Thesis, Department of Computer Science, The University of Texas at Austin, Austin, TX 78712, 201... 2018
Discovering Multi-Purpose Modules through Deep Multitask Learning Elliot Meyerson PhD Thesis, Department of Computer Science, The University of Texas at Austin, 2018. 2018
Dynamic Adaptation and Opponent Exploitation in Computer Poker Xun Li and Risto Miikkulainen In AAAI-18 Workshop for Imperfect Information Games, New Orleans, LA, USA, 2018. 2018
Enhanced Optimization with Composite Objectives and Novelty Selection Hormoz Shahrzad, Daniel Fink and Risto Miikkulainen In Proceedings of the 2018 Conference on Artificial Life, Tokyo, Japan, 2018. 2018
Evolutionary Architecture Search For Deep Multitask Networks Jason Liang, Elliot Meyerson, and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), 466–473, Kyo... 2018
Evolutionary Neural Architecture Search for Deep Learning Jason Zhi Liang PhD Thesis, The University of Texas at Austin, 2317 Speedway, Austin, TX 78712, December 2018. 2018
Functional Generative Design: An Evolutionary Approach to 3D-Printing Cem C. Tutum, Supawit Chockchowwat, Etienne Vouga and Risto Miikkulainen To Appear In Proceedings of Genetic and Evolutionary Computation Conference (GECCO 2018), 8, ... 2018
Hierarchical Policy Design for Sample-Efficient Learning of Robot Table Tennis Through Self-Play Reza Mahjourian PhD Thesis, University of Texas at Austin, 2018. 2018
Learning Useful Features For Poker Arjun Nagineni Technical Report, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, 20... 2018
Opponent Modeling and Exploitation in Poker Using Evolved Recurrent Neural Networks Xun Li PhD Thesis, Department of Computer Sciences, The University of Texas at Austin., Austin, TX, 2018. 2018
Opponent Modeling and Exploitation in Poker Using Evolved Recurrent Neural Networks Xun Li and Risto Miikkulainen In Proceedings of The Genetic and Evolutionary Computation Conference (GECCO 2018), Kyoto, Ja... 2018
PRETSL: Distributed Probabilistic Rule Evolution for Time-Series Classification Babak Hodjat, Hormoz Shahrzad, Risto Miikkulainen, Lawrence Murray, and Chris Holmes In Genetic Programming Theory and Practice XIV, New York, 2018. Springer. 2018
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing---and Back Elliot Meyerson, Risto Miikkulainen In Proceedings of the 35th International Conference on Machine Learning, 739-748, 2018. 2018
Sentient Ascend: AI-Based Massively Multivariate Conversion Rate Optimization R. Miikkulainen, N. Iscoe, A. Shagrin, R. Rapp, S. Nazari, P. McGrath, C. Schoolland, E. Achkar, M. ... In Proceedings of the Thirtieth Innovative Applications of Artificial Intelligence Conference... 2018
A Probabilistic Re-Formulation of No Free Lunch: Continuous Lunches Are Not Free Alan J. Lockett and Risto Miikkulainen Evolutionary Computation, 25:503--528, 2017. 2017
Conversion Rate Optimization through Evolutionary Computation Risto Miikkulainen, Neil Iscoe, Aaron Shagrin, Ron Cordell, Sam Nazari, Cory Schoolland, Myles Brund... In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2017, Berlin, German... 2017
Discovering Evolutionary Stepping Stones through Behavior Domination Elliot Meyerson and Risto Miikkulainen To Appear In Proceedings of The Genetic and Evolutionary Computation Conference (GECCO 2017),... 2017
Efficient Sampling for Design Optimization of an SLS Product Nancy Xu, Cem C. Tutum In Proceedings of the 28th Annual International Solid Freeform Fabrication Symposium, 12, Aus... 2017
Evolutionary Decomposition for 3D Printing Eric A. Yu, Jin Yeom, Cem C. Tutum, Etienne Vouga, Risto Miikkulainen To Appear In Proceedings of The Genetic and Evolutionary Computation Conference (GECCO 2017) (Bes... 2017
Evolving Adaptive Poker Players for Effective Opponent Exploitation Xun Li and Risto Miikkulainen In AAAI-17 Workshop on Computer Poker and Imperfect Information Games, San Francisco, CA, USA... 2017
From Words to Sentences & Back: Characterizing Context-dependent Meaning Representations in the Brain Nora Aguirre-Celis, Manuel Valenzuela, and Risto Miikkulainen In Proceedings of the 39th Annual Meeting of the Cognitive Science Society, London, UK, July... 2017
How to Select a Winner in Evolutionary Optimization? Risto Miikkulainen, Hormoz Shahrzad, Nigel Duffy, and Phil Long In Proceedings of the IEEE Symposium Series in Computational Intelligence, 2017. IEEE. 2017
Constructing Game Agents Through Simulated Evolution Jacob Schrum and Risto Miikkulainen In Newton Lee, editors, Encyclopedia of Computer Graphics and Games, 1--10, 2016. Springer. 2016
Discovering Multimodal Behavior in Ms. Pac-Man through Evolution of Modular Neural Networks Jacob Schrum and Risto Miikkulainen IEEE Transactions on Computational Intelligence and AI in Games, 8(1):67--81, March 2016. 2016
Distributed Age-Layered Novelty Search Babak Hodjat, Hormoz Shahrzad, and Risto Miikkulainen To Appear In Proceedings of the Fifteenth International Conference on the Synthesis and Simulatio... 2016
Estimating the Advantage of Age-Layering in Evolutionary Algorithms Hormoz Shahrzad, Babak Hodjat, and Risto Miikkulainen To Appear In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2016, Denv... 2016
Evolving Artificial Language Through Evolutionary Reinforcement Learning Xun Li and Risto Miikkulainen In Proceedings of the Fifteenth International Conference on the Synthesis and Simulation of Livin... 2016
Evolving Deep LSTM-based Memory networks using an Information Maximization Objective Aditya Rawal and Risto Miikkulainen To Appear In Genetic and Evolutionary Computation Conference (GECCO 2016), Colorado, USA, 201... 2016
Learning Behavior Characterizations for Novelty Search Elliot Meyerson, Joel Lehman and Risto Miikkulainen To Appear In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2016),... 2016
Machines Are Becoming More Creative Than Humans Risto Miikkulainen VentureBeat, 2016/04/03, 2016. 2016
MARLEDA: Effective Distribution Estimation through Markov Random Fields Matthew Alden and Risto Miikkulainen Theoretical Computer Science, 633:4-18, 2016. 2016
nPool: Massively Distributed Simultaneous Evolution and Cross-Validation in EC-Star Babak Hodjat, Hormoz Shahrzad In Genetic Programming Theory and Practice XIII, 2016. Springer, Cham. 2016
Object-Model Transfer in the General Video Game Domain Alexander Braylan, Risto Miikkulainen To Appear In Proceedings of the Twelfth AAAI Conference on Artificial Intelligence and Interactiv... 2016
Reuse of Neural Modules for General Video Game Playing Alexander Braylan, Mark Hollenbeck, Elliot Meyerson and Risto Miikkulainen To Appear In Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI-16), 20... 2016
Solving Multiple Isolated, Interleaved, and Blended Tasks through Modular Neuroevolution Jacob Schrum and Risto Miikkulainen Evolutionary Computation, 24(3):459--490, September 2016. MIT Press. 2016
Surrogate-based Evolutionary Optimization for Friction Stir Welding Cem C Tutum, Shaayaan Sayed and Risto Miikkulainen In Proceedings of IEEE World Congress on Computational Intelligence (WCCI 2016), 8 pages, Van... 2016
The Evolution of Coordinated Cooperative Behaviors Padmini Rajagopalan PhD Thesis, Department of Computer Science, University of Texas at Austin, Austin, TX, August 2016. 2016
The Evolution of Language Groups among Cooperating Digital Predators Patrick Haley Technical Report HR-16-06, Department of Computer Science, The University of Texas at Austin, 2016. 2016
Extinction Events Can Accelerate Evolution Joel Lehman and Risto Miikkulainen PLoS ONE, 10(8):e0132886 https://doi.org/10.13, 2015. 2015
Enhancing Divergent Search through Extinction Events Joel Lehman and Risto Miikkulainen To Appear In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2015),... 2015
Evaluating team behaviors constructed with human-guided machine learning Igor V. Karpov, Leif M. Johnson and Risto Miikkulainen To Appear In Proceedings of the IEEE Conference on Computational Intelligence in Games, Augus... 2015
Evolutionary Bilevel Optimization for Complex Control Problems and Blackbox Function Optimization Jason Zhi Liang Masters Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, Texas, 2... 2015
Evolutionary Bilevel Optimization for Complex Control Tasks Jason Zhi Liang, Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2015), 871–878... 2015
Evolving Scout Agents for Military Simulations Brian D. Boyles Masters Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, 201... 2015
Evolving Strategies for Social Innovation Games Erkin Bahceci, Riitta Katila and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2015), Madrid, S... 2015
Frame Skip Is a Powerful Parameter for Learning to Play Atari Alexander Braylan, Mark Hollenbeck, Elliot Meyerson and Risto Miikkulainen In AAAI-15 Workshop on Learning for General Competency in Video Games, 2015. 2015
General Video Game Playing as a Benchmark for Human-Competitive AI Joel Lehman and Risto Miikkulainen In AAAI-15 Workshop on Beyond the Turing Test, 2015. 2015
Mean-field thalamocortical modeling of longitudinal EEG acquired during intensive meditation training Manish Saggar, Anthony P. Zanesco, Brandon G. King, David A. Bridwell, Katherine A. MacLean, Stephen... NeuroImage, 114:88-104, 2015. Elsevier. 2015
Neuroevolution Risto Miikkulainen In Sammut, C. and Webb, G. I., editors, Encyclopedia of Machine Learning, 2nd Edition, Berlin... 2015
On the Cross-Domain Reusability of Neural Modules for General Video Game Playing Alexander Braylan, Mark Hollenbeck, Elliot Meyerson and Risto Miikkulainen In IJCAI'15 Workshop on General Intelligence in Game-Playing Agents, 7--14, 2015. 2015
Sensorimotor Embedding: A Developmental Approach to Learning Geometry Jeremy Stober PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, May 2015... 2015
Solving Interleaved and Blended Sequential Decision-Making Problems through Modular Neuroevolution Jacob Schrum and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2015), 345--352,... 2015
Tackling the Boolean Multiplexer Function Using a Highly Distributed Genetic Programming System Hormoz Shahrzad, Babak Hodjat In Riolo, R., Worzel, W., Kotanchek, M., editors, Genetic Programming Theory and Practice XII... 2015
Adapting Morphology to Multiple Tasks in Evolved Virtual Creatures Dan Lessin, Don Fussell, Risto Miikkulainen To Appear In Proceedings of The Fourteenth International Conference on the Synthesis and Simulati... 2014
An Anarchy of Methods: Current Trends in How AI is Abstracted in AI Joel Lehman, Jeff Clune and Sebastian Risi Intelligent Systems magazine, 29(6):56-62, 2014. 2014
Competitive Multi-Agent Search Erkin Bahceci PhD Thesis, Department of Computer Science, The University of Texas at Austin, Austin, TX 78712, Dec... 2014
Evolution of Communication in Mate Selection Aditya Rawal, Janette Boughman and Risto Miikkulainen To Appear In Proceedings of The Fourteenth International Conference on the Synthesis and Simulati... 2014
Evolutionary Annealing: Global Optimization in Arbitrary Measure Spaces Alan J Lockett and Risto Miikkulainen Journal of Global Optimization, 58:75-108, 2014. 2014
Evolved Virtual Creatures as Content: Increasing Behavioral and Morphological Complexity Dan Lessin PhD Thesis, Computer Science Department, The University of Texas at Austin, Austin, Texas, December ... 2014
Evolving Multimodal Behavior Through Modular Multiobjective Neuroevolution Jacob Schrum PhD Thesis, The University of Texas at Austin, Austin, TX 78712, May 2014. Tech Report TR-14-07. 2014
Evolving Multimodal Behavior Through Subtask and Switch Neural Networks Xun Li and Risto Miikkulainen In Proceedings of The Fourteenth International Conference on the Synthesis and Simulation of Livi... 2014
Evolving Multimodal Behavior With Modular Neural Networks in Ms. Pac-Man Jacob Schrum and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2014), 325--332,... 2014
General Intelligence through Prolonged Evolution of Densely Connected Neural Networks Padmini Rajagopalan, Aditya Rawal, Kay E. Holekamp and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2014), Vancouver... 2014
GRADE: Machine Learning Support for Graduate Admissions Austin Waters, Risto Miikkulainen AI Magazine, 35:64-75, 2014. 2014
Grasping Novel Objects with a Dexterous Robotic Hand through Neuroevolution Pei-Chi Huang, Joel Lehman, Aloysius K. Mok, Risto Miikkulainen, Luis Sentis In IEEE Symposium Series on Computational Intelligence, 2014. IEEE. 2014
Infinite-Word Topic Models for Digital Media Austin Waters PhD Thesis, Department of Computer Science, The University of Texas at Austin, 2014. 2014
Learning Decision Lists with Lags for Physiological Time Series Erik Hemberg, Kalyan Veeramachaneni, Prashan Wanigasekara, Hormoz Shahrzad, Babak Hodjat, Una-May O'... In Workshop on Data Mining for Medicine and Healthcare at the 14th SIAM International Conference ... 2014
Maintenance of a Long Running Distributed Genetic Programming System for Solving Problems Requiring Big Data Babak Hodjat, Erik Hemberg, Hormoz Shahrzad, Una-May O’Reilly In Riolo, R., Moore, J., Kotanchek, M., editors, Genetic Programming Theory and Practice XI, ... 2014
Overcoming Deception in Evolution of Cognitive Behaviors Joel Lehman and Risto Miikkulainen To Appear In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2014),... 2014
The Evolution of General Intelligence Padmini Rajagopalan, Kay E. Holekamp and Risto Miikkulainen In Proceedings of The Fourteenth International Conference on the Synthesis and Simulation of Livi... 2014
Trading Control Intelligence for Physical Intelligence: Muscle Drives in Evolved Virtual Creatures Dan Lessin, Don Fussell, Risto Miikkulainen To Appear In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) 2014,... 2014
A Computational Account of Bilingual Aphasia Rehabilitation Swathi Kiran, Uli Grasemann, Chaleece Sandberg, and Risto Miikkulainen Bilingualism: Language and Cognition, 16:325-342, 2013. 2013
A Measure-Theoretic Analysis of Stochastic Optimization Alan J. Lockett and Risto Miikkulainen In Proceedings of the 12th International Workshop on Foundations of Genetic Algorithms (FOGA-2013... 2013
A Neuroevolution Approach to General Atari Game Playing Matthew Hausknecht and Joel Lehman and Risto Miikkulainen and Peter Stone IEEE Transactions on Computational Intelligence and AI in Games, 2013. 2013
Architecture of a Cyberphysical Avatar Song Han, Aloysius K. Mok, Jianyong Meng, Yi-Hung Wei, Pei-Chi Huang, Quan Leng, Xiuming Zhu, Luis S... In Proceedings of the ACM/IEEE Fourth International Conference on Cyber-Physical Systems (ICCPS-2... 2013
Boosting Interactive Evolution using Human Computation Markets Joel Lehman and Risto Miikkulainen To Appear In Proceedings of the 2nd International Conference on the Theory and Practice of Natura... 2013
Effective Diversity Maintenance in Deceptive Domains Joel Lehman, Kenneth O. Stanley and Risto Miikkulainen To Appear In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) 2013,... 2013
Evolutionary Feature Evaluation for Online Reinforcement Learning Julian Bishop and Risto Miikkulainen In Proceedings of 2013 IEEE Conference on Computational Intelligence and Games (CIG2013), 267... 2013
Extended Scaled Neural Predictor for Improved Branch Prediction Zihao Zhou, Mayank Kejriwal and Risto Miikkulainen In Proceedings of the International Joint Conference on Neural Networks, 2013. IEEE. 2013
GRADE: Machine Learning Support for Graduate Admissions Austin Waters, Risto Miikkulainen In Proceedings of the 25th Conference on Innovative Applications of Artificial Intelligence, ... 2013
IJCNN-2013 Tutorial on Evolution of Neural Networks Risto Miikkulainen To Appear In 2013. Tutorial slides.. 2013
Introducing an Age-Varying Fitness Estimation Function Babak Hodjat, Hormoz Shahrzad In Riolo, R., Vladislavleva, E., Ritchie, M., Moore, J., editors, Genetic Programming Theory and ... 2013
Measure-Theoretic Analysis of Performance in Evolutionary Algorithms Alan J Lockett In Proceedings of the 2013 IEEE Congress on Evolutionary Computation (CEC-2013), 2013. IEEE P... 2013
Neuroannealing: Martingale-Driven Optimization for Neural Networks Alan J Lockett and Risto Miikkulainen In Proceedings of the 2013 Genetic and Evolutionary Computation Conference (GECCO-2013), 2013... 2013
Neuroevolution Joel Lehman and Risto Miikkulainen Scholarpedia, 8(6):30977, 2013. 2013
Open-Ended Behavioral Complexity for Evolved Virtual Creatures Dan Lessin, Don Fussell, Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) 2013, 2013. 2013
Using Both Latent and Supervised Shared Topics for Multitask Learning Ayan Acharya, Aditya Rawal, Raymond J. Mooney, Eduardo R. Hruschka In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in ... 2013
Using Symmetry and Evolutionary Search to Minimize Sorting Networks Vinod K. Valsalam and Risto Miikkulainen Journal of Machine Learning Research, 14(Feb):303--331, 2013. 2013
A Probabilistic Architecture for Algorithm Portfolios Bryan Silverthorn PhD Thesis, Department of Computer Science, The University of Texas at Austin, 2012. 2012
Accelerating Evolution via Egalitarian Social Learning Wesley Tansey, Eliana Feasley, and Risto Miikkulainen In Proceedings of the 14th Annual Genetic and Evolutionary Computation Conference (GECCO 2012) 2012
Architecture of a Cyberphysical Avatar Song Han, Aloysius K. Mok, Jianyong Meng, Yi-Hung Wei, Pei-Chi Huang, Xiuming Zhu, Luis Sentis, Kan ... In Proceedings of the International Workshop on Real-Time and Distributed Computing in Emerging A... 2012
Believable Bot Navigation via Playback of Human Traces Igor V. Karpov, Jacob Schrum, Risto Miikkulainen In Philip F. Hingston, editors, Believable Bots, 151--170, 2012. Springer Berlin Heidelberg. 2012
Constructing Controllers for Physical Multilegged Robots using the ENSO Neuroevolution Approach Vinod K. Valsalam, Jonathan Hiller, Robert MacCurdy, Hod Lipson and Risto Miikkulainen Evolutionary Intelligence, 5(1):1--12, 2012. 2012
Evaluating Modular Neuroevolution in Robotic Keepaway Soccer Anand Subramoney Masters Thesis, Department of Computer Science, The University of Texas at Austin, Austin, TX, 2012.... 2012
Evaluation Methods for Active Human-Guided Neuroevolution in Games Igor Karpov, Leif Johnson, Vinod Valsalam and Risto Miikkulainen In 2012 AAAI Fall Symposium on Robots Learning Interactively from Human Teachers (RLIHT), Nov... 2012
Evolution of a Communication Code in Cooperative Tasks Aditya Rawal, Padmini Rajagopalan, Risto Miikkulainen and Kay Holekamp In Artificial Life (13th International Conference on the Synthesis and Simulation of Living Syste... 2012
Evolving Multimodal Networks for Multitask Games Jacob Schrum and Risto Miikkulainen IEEE Transactions on Computational Intelligence and AI in Games, 4(2):94--111, June 2012. IEE... 2012
General-Purpose Optimization Through Information-Maximization Alan J Lockett PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, 2012. Tech Report AI... 2012
Humanlike Combat Behavior via Multiobjective Neuroevolution Jacob Schrum, Igor V. Karpov and Risto Miikkulainen In Philip F. Hingston, editors, Believable Bots, 119--150, 2012. Springer Berlin Heidelberg. 2012
HyperNEAT-GGP: A HyperNEAT-based Atari General Game Player Matthew Hausknecht, Piyush Khandelwal, Risto Miikkulainen, Peter Stone In Genetic and Evolutionary Computation Conference (GECCO) 2012, 2012. 2012
Intensive training induces longitudinal changes in meditation state-related EEG oscillatory activity Manish Saggar, Brandon G King, Anthony P Zanesco, Katherine A MacLean, Stephen R Aichele, Tonya L Ja... Amishi P Jha, editors, Frontiers in Human Neuroscience, 6(00256), Sep 2012. 2012
Multiagent Learning through Neuroevolution Risto Miikkulainen, Eliana Feasley, Leif Johnson, Igor Karpov, Padmini Rajagopalan, Aditya Rawal, an... In J. Liu et al., editors, Advances in Computational Intelligence, LNCS 7311, 24-46, Berlin, ... 2012
Surviving Solver Sensitivity: An ASP Practitioner's Guide Bryan Silverthorn, Yuliya Lierler and Marius Schneider In International Conference on Logic Programming (ICLP), 2012. 2012
Task decomposition with neuroevolution in extended predator-prey domain Ashish Jain, Anand Subramoney, Risto Miikkulainen In Proceedings of Thirteenth International Conference on the Synthesis and Simulation of Living S... 2012
An Integrated Neuroevolutionary Approach to Reactive Control and High-level Strategy Nate Kohl, Risto Miikkulainen IEEE Transactions on Evolutionary Computation, 2011. 2011
Assisting Machine Learning Through Shaping, Advice and Examples Igor Karpov, Vinod Valsalam and Risto Miikkulainen In 2011 IJCAI Workshop on Agents Learning Interactively from Human Teachers (ALIHT), July 201... 2011
Avoiding Premature Convergence in NeuroEvolution by Broadening the Evolutionary Search Matthew de Wet Technical Report HR-11-02, Department of Computer Science, The University of Texas at Austin, 2011. 2011
Computational Analysis of Meditation Manish Saggar PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, 2011. 2011
Creating Intelligent Agents through Shaping of Coevolution Adam Dziuk Technical Report HR-11-01, Department of Computer Science, The University of Texas at Austin, 2011. 2011
Creating Intelligent Agents through Shaping of Coevolution Adam Dziuk and Risto Miikkulainen In Proceedings of the Congress on Evolutionary Computation, New Orleans, LA, 2011. IEEE. 2011
Evolving Multimodal Networks for Multitask Games Jacob Schrum and Risto Miikkulainen In Proceedings of the IEEE Conference on Computational Intelligence and Games (CIG 2011), 102... 2011
Evolving Symmetry for Modular System Design Vinod K. Valsalam and Risto Miikkulainen IEEE Transactions on Evolutionary Computation, 15(3):368--386, 2011. 2011
Human-Assisted Neuroevolution Through Shaping, Advice and Examples Igor V. Karpov, Vinod K. Valsalam and Risto Miikkulainen In Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference (GECCO 2011) 2011
Impairment and Rehabilitation in Bilingual Aphasia: A SOM-Based Model Uli Grasemann, Swathi Kiran, Chaleece Sandberg and Risto Miikkulainen In J Laaksonen and T. Honkela, editors, Proceedings of WSOM11, 8th Workshop on Self-Organizing Ma... 2011
Learning Geometry from Sensorimotor Experience Jeremy Stober, Risto Miikkulainen, and Benjamin Kuipers In Proceedings of the First International Conference on Development and Learning and Epigenetic R... 2011
Learning Polarity from Structure in SAT Bryan Silverthorn and Risto Miikkulainen In Theory and Applications of Satisfiability Testing (SAT), 2011. (extended abstract). 2011
Measure-Theoretic Evolutionary Annealing Alan J. Lockett and Risto Miikkulainen In Proceedings of the 2011 IEEE Congress on Evolutionary Computation, 2011. 2011
Modeling Acute and Compensated Language Disturbance in Schizophrenia Uli Grasemann, Ralph Hoffman and Risto Miikkulainen In Proceedings of the 33rd Annual Meeting of the Cognitive Science Society, 2011. 2011
Real-Space Evolutionary Annealing Alan J Lockett and Risto Miikkulainen In Proceedings of the 2011 Genetic and Evolutionary Computation Conference (GECCO-2011), 2011... 2011
The Role of Reward Structure, Coordination Mechanism and Net Return in the Evolution of Cooperation Padmini Rajagopalan, Aditya Rawal, Risto Miikkulainen, Marc A. Wiseman and Kay E. Holekamp In Proceedings of the IEEE Conference on Computational Intelligence and Games (CIG 2011), Seo... 2011
Using Computational Patients to Evaluate Illness Mechanisms in Schizophrenia Ralph E. Hoffman, Uli Grasemann, Ralitza Gueorguieva, Donald Quinlan, Douglas Lane, and Risto Miikku... Biological Psychiatry, 69:997--1005, 2011. 2011
Utilizing Symmetry and Evolutionary Search to Minimize Sorting Networks Vinod K. Valsalam and Risto Miikkulainen Technical Report AITR-11-09, Department of Computer Sciences, The University of Texas at Austin, Aus... 2011
UT^2: Human-like Behavior via Neuroevolution of Combat Behavior and Replay of Human Traces Jacob Schrum, Igor V. Karpov and Risto Miikkulainen In Proceedings of the IEEE Conference on Computational Intelligence and Games (CIG 2011), 329... 2011
A Computational Model of Language Pathology in Schizophrenia Uli Grasemann PhD Thesis, Department of Computer Science, The University of Texas at Austin, Austin, TX, December ... 2010
An Analysis of Automated Decision Making Methodologies in Role Playing Video Games: Centralized Approach Christopher Bush Technical Report HR-10-03, Department of Computer Science, The University of Texas at Austin, 2010. 2010
An Analysis of Distributed Decision Making Methodologies in Role Playing Video Games Matthew Johnston Technical Report HR-10-09, Department of Computer Science, The University of Texas at Austin, 2010. 2010
Behavioral, neuroimaging, and computational evidence for perceptual caching in repetition priming Manish Saggar, Risto Miikkulainen, David Schnyer Journal of Brain Research, 1315:75--91, 2010. 2010
Coevolution of Role-Based Cooperation in Multi-Agent Systems Chern Han Yong and Risto Miikkulainen IEEE Transactions on Autonomous Mental Development, 1:170--186, 2010. 2010
Computational models inform clinical science and assessment: An application to category learning in striatal-damaged patients W. Todd Maddox, J. Vincent Filoteo and Dagmar Zeithamova Journal of Mathematical Psychology, 54(1):109-122, 2010. 2010
Constructing Competitive and Cooperative Agent Behavior Using Coevolution Aditya Rawal, Padmini Rajagopalan and Risto Miikkulainen In IEEE Conference on Computational Intelligence and Games (CIG 2010), Copenhagen, Denmark, A... 2010
Evolving Agent Behavior In Multiobjective Domains Using Fitness-Based Shaping Jacob Schrum and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2010), 439--446,... 2010
Hierarchical Neural Networks for Behavior-Based Decision Making David Robson Technical Report HR-10-02, Department of Computer Science, The University of Texas at Austin, 2010. 2010
Latent Class Models for Algorithm Portfolio Methods Bryan Silverthorn and Risto Miikkulainen In Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010. 2010
Neuroevolution Risto Miikkulainen In Encyclopedia of Machine Learning, New York, 2010. Springer. 2010
Speciation in NEAT Timothy Nodine Technical Report HR-10-06, Department of Computer Science, The University of Texas at Austin, 2010. 2010
Spherical Topic Models Joseph Reisinger, Austin Waters, Bryan Silverthorn, and Raymond J. Mooney In Proceedings of the 27th International Conference on Machine Learning (ICML 2010), 2010. 2010
Utilizing Symmetry in Evolutionary Design Vinod Valsalam PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, 2010. Te... 2010
A Population Gain Control Model of Spatiotemporal Responses in the Visual Cortex Yiu Fai Sit PhD Thesis, Department of Computer Sciences, University of Texas at Austin, Austin, TX, 2009. Techni... 2009
Complex Dynamics of V1 Population Responses Explained by a Simple Gain-Control Model Yiu Fai Sit, Yuzhi Chen, Wilson S. Geisler, Risto Miikkulainen, and Eyal Seidemann Neuron, 64:943-956, 2009. 2009
Computational Predictions on the Receptive Fields and Organization of V2 for Shape Processing Yiu Fai Sit and Risto Miikkulainen Neural Computation, 21(3):762--785, March 2009. 2009
Evolving Adaptive Intelligence: Using NeuroEvolution with Temporal Difference Methods in the Game Domain Nathaniel Tucker Technical Report HR-09-04, Department of Computer Science, The University of Texas at Austin., 2009. 2009
Evolving Multi-modal Behavior in NPCs Jacob Schrum and Risto Miikkulainen In IEEE Symposium on Computational Intelligence and Games (CIG 2009), 325--332, Milan, Italy,... 2009
Evolving Neural Networks for Strategic Decision-Making Problems Nate Kohl and Risto Miikkulainen In Neural Networks, Special issue on Goal-Directed Neural Systems, 2009. 2009
Evolving Symmetric and Modular Neural Network Controllers for Multilegged Robots Vinod K. Valsalam and Risto Miikkulainen In xploring New Horizons in Evolutionary Design of Robots: Workshop at the 2009 IEEE/RSJ Internat... 2009
Evolving Symmetric and Modular Neural Networks for Distributed Control Vinod K. Valsalam and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), 731--738, 200... 2009
Hyperlearning: A Connectionist Model of Psychosis in Schizophrenia Uli Grasemann, Risto Miikkulainen and Ralph Hoffman In N. A. Taatgen and H. van Rijn, editors, Proceedings of the 31st Annual Meeting of the Cognitiv... 2009
Learning Dynamic Obstacle Avoidance for a Robot Arm Using Neuroevolution Thomas D'Silva, Risto Miikkulainen Neural Processing Letters, 2009. 2009
Learning in Fractured Problems for Constructive Neural Network Algorithms Nate Kohl PhD Thesis, Department of Computer Sciences, University of Texas at Austin, Austin, TX, 2009. 2009
Modeling the Bilingual Lexicon of an Individual Subject Risto Miikkulainen and Swathi Kiran In Proceedings of the Workshop on Self-Organizing Maps (WSOM'09), Berlin, 2009. Springer. 2009
Spherical Topic Models Joseph Reisinger, Austin Waters, Bryan Silverthorn, and Raymond Mooney In NIPS'09 workshop: Applications for Topic Models: Text and Beyond, 2009. 2009
Temporal Convolution Machines for Sequence Learning Alan J Lockett and Risto Miikkulainen Technical Report AI-09-04, Department of Computer Sciences, the University of Texas at Austin, 2009. 2009
The Necessity of Separating Control and Logic When Grounding Language Using Neuroevolution Yonatan Bisk Technical Report HR-09-05, Department of Computer Sciences, The University of Texas at Austin, 2009. 2009
Accelerated Neural Evolution through Cooperatively Coevolved Synapses Faustino Gomez, Juergen Schmidhuber, and Risto Miikkulainen Journal of Machine Learning Research:937-965, 2008. 2008
Category Learning Systems Dagmar Zeithamova PhD Thesis, Institute for Neuroscience, The University of Texas at Austin, 2008. 2008
Competition Between Reinforcement Learning Methods in a Predator-Prey Grid World Jacob Schrum Technical Report AI08-9, The University of Texas at Austin, Department of Computer Sciences, Novembe... 2008
Constructing Complex NPC Behavior via Multi-Objective Neuroevolution Jacob Schrum and Risto Miikkulainen In Proceedings of the Fourth Artificial Intelligence and Interactive Digital Entertainment Confer... 2008
Dissociable prototype learning systems: Evidence from brain imaging and behavior Dagmar Zeithamova, W. Todd Maddox and David M. Schnyer Journal of Neuroscience, 28(49):13194-13201, 2008. 2008
Evolving Controllers for Simulated Car Racing using Neuroevolution Aravind Gowrisankar Masters Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX/US, 2... 2008
Evolving Neural Networks for Fractured Domains Nate Kohl and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 1405-1412, July 2008. 2008
Evolving Opponent Models for Texas Hold 'Em Alan J Lockett and Risto Miikkulainen In IEEE Conference on Computational Intelligence in Games, Perth, Australia, 2008. 2008
Incremental Nonmonotonic Sentence Interpretation through Semantic Self-Organization Marshall R. Mayberry III and Risto Miikkulainen Technical Report AI08-12, Department of Computer Sciences, University of Texas at Austin, Austin, TX... 2008
Memory Processes in Perceptual Decision Making Manish Saggar, Risto Miikkulainen, David M Schnyer In Proceedings of the 30th Annual Conference of the Cognitive Science Society, Nashville, TN,... 2008
Modular Neuroevolution for Multilegged Locomotion Vinod K. Valsalam and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference GECCO 2008, 265-272, Ne... 2008
Motion Perception and the Scene Statistics of Motion Tal Tversky PhD Thesis, Department of Computer Science, The University of Texas at Austin, Austin, TX, 2008. 2008
Online Kernel Selection for Bayesian Reinforcement Learning Joseph Reisinger and Peter Stone and Risto Miikkulainen In Proceedings of the Twenty-Fifth International Conference on Machine Learning, July 2008. 2008
Transfer of Evolved Pattern-Based Heuristics in Games Erkin Bahceci and Risto Miikkulainen In IEEE Symposium On Computational Intelligence and Games (CIG 2008), 220-227, Perth, Austral... 2008
A computational model of the motivation-learning interface Manish Saggar, Arthur B Markman, W Todd Maddox, Risto Miikkulainen In Proceedings of the 29th Annual Conference of the Cognitive Science Society, Nashville, TN,... 2007
A Computational Model of the Signals in Optical Imaging with Voltage-Sensitive Dyes Yiu Fai Sit and Risto Miikkulainen Neurocomputing:1853-1857, 2007. 2007
A Subsymbolic Model of Language Pathology in Schizophrenia Uli Grasemann, Risto Miikkulainen, Ralph Hoffman In Proceedings of the 29th Annual Conference of the Cognitive Science Society, 311-316, Hill... 2007
Acquiring Evolvability through Adaptive Representations Joseph Reisinger and Risto Miikkulainen In Proceeedings of the Genetic and Evolutionary Computation Conference, 1045-1052, 2007. 2007
Acquiring Visibly Intelligent Behavior with Example-Guided Neuroevolution Bobby D. Bryant and Risto Miikkulainen In Proceedings of the Twenty-Second National Conference on Artificial Intelligence, Menlo Par... 2007
Coevolution of Role-Based Cooperation in Multi-Agent Systems Chern Han Yong and Risto Miikkulainen Technical Report AI07-338, Department of Computer Sciences, The University of Texas at Austin, 2007. 2007
Coevolving Strategies for General Game Playing Joseph Reisinger, Erkin Bahceci, Igor Karpov and Risto Miikkulainen In Proceedings of the {IEEE} Symposium on Computational Intelligence and Games, 320-327, Pis... 2007
Detecting Motion in the Environment with a Moving Quadruped Robot Peggy Fidelman, Thayne Coffman and Risto Miikkulainen In Gerhard Lakemeyer and Elizabeth Sklar and Domenico Sorenti and Tomoichi Takahashi, editors, Ro... 2007
Developing Complex Systems Using Evolved Pattern Generators Vinod K. Valsalam, James A. Bednar and Risto Miikkulainen IEEE Transactions on Evolutionary Computation:181-198, 2007. 2007
Effects of Acquisition Rate on Emergent Structure in Phonological Development Melissa A. Redford and Risto Miikkulainen Language:737-769, 2007. 2007
Evolving Explicit Opponent Models for Game Play Alan Lockett, Charles Chen, and Risto Miikkulainen In Genetic and Evolutionary Computation Conference (GECCO-2007), 2007. 2007
MARLEDA: Effective Distribution Estimation Through Markov Random Fields Matthew Alden PhD Thesis, Department of Computer Sciences, the University of Texas at Austin, Austin, Texas, 2007.... 2007
Modeling the self-organization of color selectivity in the visual cortex Judah Ben De Paula PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, 2007. 2007
Reinforcement Learning in High-Diameter, Continuous Environments Jefferson Provost PhD Thesis, Computer Sciences Department, University of Texas at Austin, Austin, TX, 2007. 2007
Self-Organizing Distinctive State Abstraction Using Options Jefferson Provost, Benjamin J. Kuipers, and Risto Miikkulainen In Proceedings of the 7th International Conference on Epigenetic Robotics, 2007. 2007
Semantic Boost on Episodic Associations: An Empirically Based Computational Model Yaron Silberman, Shlomo Bentin, and Risto Miikkulainen Cognitive Science, 31:645--671, 2007. 2007
System Identification for the Hodgkin-Huxley Model using Artificial Neural Networks Manish Saggar, Tekin Mericli, Sari Andoni, Risto Miikkulainen In Proceedings of International Joint Conference on Neural Networks, Orlando, Florida, August... 2007
Coevolution of Neural Networks using a Layered Pareto Archive German A. Monroy, Kenneth O. Stanley, Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 329-336, Seattle, Wash... 2006
Computational Intelligence in Games Risto Miikkulainen, Bobby D. Bryant, Ryan Cornelius, Igor V. Karpov, Kenneth O. Stanley, and Chern H... In Gary Y. Yen and David B. Fogel, editors, Computational Intelligence: Principles and Practice<... 2006
Converting RGB Images to LMS Cone Activations Judah B. De Paula Technical Report, Department of Computer Sciences, The University of Texas at Austin, 2006. Technica... 2006
Creating Intelligent Agents in Games Risto Miikkulainen The Bridge:5-13, 2006. 2006
Developing navigation behavior through self-organizing distinctive state abstraction Jefferson Provost, Benjamin J. Kuipers, and Risto Miikkulainen Connection Science, 18:159-172, 2006. 2006
Efficient Non-Linear Control through Neuroevolution Faustino Gomez, Juergen Schmidhuber, and Risto Miikkulainen In Proceedings of the European Conference on Machine Learning, 654-662, Berlin, 2006. Springe... 2006
Establishing an Appropriate Learning Bias Through Development Vinod K. Valsalam, James A. Bednar, and Risto Miikkulainen In Proceedings of the Fifth International Conference on Development and Learning (ICDL-2006),... 2006
Evolving a Real-World Vehicle Warning System Nate Kohl, Kenneth Stanley, Risto Miikkulainen, Michael Samples, and Rini Sherony In Proceedings of the Genetic and Evolutionary Computation Conference, 2006. 2006
Evolving Robot Arm Controllers Using the NEAT Neuroevolution Method Thomas W. D'Silva Masters Thesis, Department of Electrical and Computer Engineering, The University of Texas at Austin... 2006
Evolving Stochastic Controller Networks for Intelligent Game Agents Bobby D. Bryant and Risto Miikkulainen In Proceedings of the 2006 Congress on Evolutionary Computation, Piscataway, NJ, 2006. IEEE. 2006
Evolving Visibly Intelligent Behavior for Embedded Game Agents Bobby D. Bryant PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, 2006. Technical Repo... 2006
Exploiting Sensor Symmetries in Example-based Training for Intelligent Agents Bobby D. Bryant and Risto Miikkulainen In Sushil M. Louis and Graham Kendall, editors, Proceedings of the {IEEE} Symposium on Computatio... 2006
Grounding Language in Descriptions of Scenes Paul Williams and Risto Miikkulainen In Proceedings of the 28th Annual Meeting of the Cognitive Science Society, 2006. 2006
Incorporating Advice into Neuroevolution of Adaptive Agents Chern Han Yong, Kenneth O. Stanley, Risto Miikkulainen, and Igor V. Karpov In Proceedings of the Second Artificial Intelligence and Interactive Digital Entertainment Confer... 2006
Integration and Evaluation of Exploration-Based Learning in Games Igor V. Karpov, Thomas D'Silva, Craig Varrichio, Kenneth O. Stanley, Risto Miikkulainen In Proceedings of the {IEEE} Symposium on Computational Intelligence and Games, Reno, NV, 20... 2006
Joint Maps for Orientation, Eye, and Direction Preference in a Self-Organizing Model of V1 James A. Bednar and Risto Miikkulainen Neurocomputing, 69:1272--1276, 2006. 2006
Prenatal Development of Ocular Dominance and Orientation Maps in a Self-Organizing Model of V1 Stefanie Jegelka, James A. Bednar, and Risto Miikkulainen Neurocomputing, 69:1291--1296, 2006. 2006
Real-Time Evolution of Neural Networks in the NERO Video Game Kenneth O. Stanley, Bobby D. Bryant, Igor Karpov, Risto Miikkulainen In Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI-2006)... 2006
Selecting for Evolvable Representations Joseph Reisinger and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 2006. 2006
Self-Organization of Hierarchical Visual Maps with Feedback Connections Yiu Fai Sit and Risto Miikkulainen Neurocomputing, 69:1309-1312, 2006. 2006
The Effect of Delivery Method on Conceptual and Strategy Development Lisa C. Kaczmarczyk, Mary Z. Last, Risto Miikkulainen In Proceedings of the 28th Annual Conference of the Cognitive Science Society, 2006. 2006
A Subsymbolic Model of Complex Story Understanding Peggy Fidelman, Risto Miikkulainen and Ralph Hoffman In Proceedings of the 27th Annual Meeting of the Cognitive Science Society, 2005. 2005
Academic AI and Video Games: A Case Study of Incorporating Innovative Academic Research into a Video Game Prototype Aliza Gold In Proceedings of the IEEE 2005 Symposium on Computational Intelligence and Games (CIG'05), 2... 2005
Associating Unseen Events: Semantically Mediated Formation of Episodic Associations Yaron Silberman, Risto Miikkulainen, and Shlomo Bentin Psychological Science, 16:161-166, 2005. 2005
Automatic Feature Selection via Neuroevolution Shimon Whiteson and Peter Stone and Kenneth O. Stanley and Risto Miikkulainen and Nate Kohl In Proceedings of the Genetic and Evolutionary Computation Conference, June 2005. 2005
Broad-Coverage Parsing with Neural Networks Marshall R. Mayberry III and Risto Miikkulainen Neural Processing Letters, 21:121--143, 2005. 2005
Coevolution of Neural Networks Using a Layered Pareto Archive German A. Monroy Masters Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, 2005... 2005
Constructing Good Learners Using Evolved Pattern Generators Vinod K. Valsalam, James A. Bednar, and Risto Miikkulainen In H.-G. Beyer and others, editors, Proceedings of the Genetic and Evolutionary Computation Confe... 2005
Constructing Visual Function Through Prenatal and Postnatal Learning James A. Bednar and Risto Miikkulainen In Denis Mareschal and Mark H. Johnson and Sylvain Sirois and Michael Spratling and Michael S. C. Th... 2005
Effective Image Compression Using Evolved Wavelets Uli Grasemann and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 2005. 2005
Efficient Credit Assignment through Evaluation Function Decomposition Adrian Agogino, Kagan Tumer, and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 2005. 2005
Evolving Keepaway Soccer Players through Task Decomposition Shimon Whiteson and Nate Kohl and Risto Miikkulainen and Peter Stone Machine Learning, 59(1):5-30, May 2005. 2005
Evolving Neural Network Agents in the NERO Video Game Kenneth O. Stanley, Bobby D. Bryant, and Risto Miikkulainen In Proceedings of the IEEE 2005 Symposium on Computational Intelligence and Games (CIG'05), P... 2005
Evolving Neural Network Ensembles for Control Problems David Pardoe, Michael Ryoo, and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 2005. 2005
Improving Prescripted Agent Behavior with Neuroevolution Ryan Cornelius Technical Report HR-05-01, Department of Computer Sciences, The University of Texas at Austin, 2005. 2005
Incorporating Advice into Evolution of Neural Networks Chern Han Yong, Kenneth O. Stanley, and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2005), 2005. Lat... 2005
Learning Basic Navigation for Personal Satellite Assistant Using Neuroevolution Yiu Fai Sit and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 2005. 2005
Learning Visual Scene Descriptions: An Approach to Symbol Grounding Paul Williams Technical Report TR-06-01, Department of Computer Science, The University of Texas at Austin, 2005. 2005
Neuroevolution of an Automobile Crash Warning System Kenneth Stanley, Nate Kohl, Rini Sherony, and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 2005. 2005
Real-Time Learning in the NERO Video Game Kenneth O. Stanley, Ryan Cornelius, Risto Miikkulainen, Thomas D'Silva, and Aliza Gold In Proceedings of the Artificial Intelligence and Interactive Digital Entertainment Conference (A... 2005
Real-time Neuroevolution in the NERO Video Game Kenneth O. Stanley, Bobby D. Bryant, and Risto Miikkulainen IEEE Transactions on Evolutionary Computation:653-668, 2005. IEEE. 2005
Retaining Learned Behavior During Real-Time Neuroevolution Thomas D'Silva, Roy Janik, Michael Chrien, Kenneth O. Stanley and Risto Miikkulainen Artificial Intelligence and Interactive Digital Entertainment, 2005. American Association for... 2005
Self-organization of color opponent receptive fields and laterally connected orientation maps James A. Bednar, Judah B. De Paula, and Risto Miikkulainen Neurocomputing, 65--66:69-76, 2005. 2005
The Acquisition of Intellectual Expertise: A Computational and Empirical Theory Elizabeth C. Kaczmarczyk PhD Thesis, Department of Computer Sciences, University of Texas at Austin, Austin, TX, 2005. 2005
Towards an Empirical Measure of Evolvability Joseph Reisinger, Kenneth O. Stanley, Risto Miikkulainen In Genetic and Evolutionary Computation Conference {(GECCO2005)} Workshop Program, 257-264, W... 2005
Self-Organizing Perceptual and Temporal Abstraction for Robot Reinforcement Learning Jefferson Provost, Benjamin J. Kuipers and Risto Miikkulainen In AAAI-04 Workshop on Learning and Planning in Markov Processes, 2004. 2004
A Neurocontrol Paradigm for Intelligent Process Control using Evolutionary Reinforcement Learning Alex van Eck Conradie PhD Thesis, Department of Chemical Engineering, University of Stellenbosch, 2004. 2004
Characteristics of Forming Episodic Associations Between Words Yaron Silberman PhD Thesis, The Hebrew University of Jerusalem, Israel, 2004. 2004
Competitive Coevolution through Evolutionary Complexification Kenneth O. Stanley and Risto Miikkulainen Journal of Artificial Intelligence Research, 21:63-100, 2004. 2004
Contour grouping: closure effects are explained by good continuation and proximity Tal Tversky, Wilson S. Geisler and Jeffrey S. Perry Vision Research, 44(24):2769--2777, 2004. 2004
Contour Integration and Segmentation with Self-Organized Lateral Connections Yoonsuck Choe and Risto Miikkulainen Biological Cybernetics 90:75-88 2004
Efficient Allele Fitness Assignment with Self-organizing Multi-agent System Adrian Agogino and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2004) Workshop Progr... 2004
Efficient Evolution of Neural Networks Through Complexification Kenneth O. Stanley PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, 2004. 2004
Evolving a Roving Eye for Go Kenneth O. Stanley and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2004), Berlin, 2... 2004
Evolving Reusable Neural Modules Joseph Reisinger, Kenneth O. Stanley, and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 2004. 2004
Evolving Wavelets using a Coevolutionary Genetic Algorithm and Lifting Uli Grasemann and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 969-980, San Francisco... 2004
Exploiting Morphological Conventions for Genetic Reuse Kenneth O. Stanley, Joseph Reisinger, and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference ({GECCO}-2004) Workshop Pr... 2004
Loop-closing and planarity in topological map-building Francesco Savelli and Benjamin Kuipers In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-04), 1511--1517,... 2004
Modeling Cortical Maps with Topographica James A. Bednar, Yoonsuck Choe, Judah De Paula, Risto Miikkulainen, Jefferson Provost, and Tal Tvers... In Computational Neuroscience: Trends in Research, 2004, 1129-1135, 2004. 2004
Prenatal and Postnatal Development of Laterally Connected Orientation Maps James A. Bednar and Risto Miikkulainen In Computational Neuroscience: Trends in Research, 2004, 58-60, 985-992, 2004. 2004
The Acquisition of Intellectual Expertise: A Computational Model Elizabeth C. Kaczmarczyk, Risto Miikkulainen In Proceedings of the 26th Annual Conference of the Cognitive Science Society, 2004. 2004
The Constructivist Learning Architecture: A Model of Cognitive Development for Robust Autonomous Robots Harold H. Chaput PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, August 2004. Also Te... 2004
Transfer of Neuroevolved Controllers in Unstable Domains Faustino J. Gomez and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, Berlin, 2004. Springer... 2004
A Taxonomy for Artificial Embryogeny Kenneth O. Stanley and Risto Miikkulainen Artificial Life, 9(2):93-130, 2003. 2003
Achieving High-Level Functionality through Evolutionary Complexification Kenneth O. Stanley and Risto Miikkulainen In Proceedings of the AAAI-2003 Spring Symposium on Computational Synthesis, Stanford, CA, 20... 2003
Active Guidance for a Finless Rocket Using Neuroevolution Faustino J. Gomez and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 2084-2095, San Francis... 2003
Constructivist Learning: A Neural Implementation of the Schema Mechanism Harold H. Chaput, Benjamin Kuipers and Risto Miikkulainen In Proceedings of WSOM '03: Workshop for Self-Organizing Maps, Kitakyushu, Japan, 2003. 2003
Evolving Adaptive Neural Networks with and Without Adaptive Synapses Kenneth O. Stanley, Bobby D. Bryant, and Risto Miikkulainen In Proceedings of the 2003 Congress on Evolutionary Computation, Piscataway, NJ, 2003. IEEE. 2003
Incremental Nonmonotonic Parsing through Semantic Self-Organization Marshall R. Mayberry III PhD Thesis, Department of Computer Sciences, the University of Texas at Austin, Austin, TX, 2003. Te... 2003
Incremental Nonmonotonic Parsing through SemanticSelf-Organization Marshall R. Mayberry III and Risto Miikkulainen In Proceedings of the 25th Annual Conference of the Cognitive Science Society, 2003. 2003
Learning Concept Drift with a Committee of Decision Trees Kenneth O. Stanley Technical Report AI03-302, Department of Computer Sciences, The University of Texas at Austin, 2003. 2003
Learning Innate Face Preferences James A. Bednar and Risto Miikkulainen Neural Computation, 15(7):1525-1557, 2003. 2003
Neuroevolution for Adaptive Teams Bobby D. Bryant and Risto Miikkulainen In Proceedings of the 2003 Congress on Evolutionary Computation (CEC 2003), 2194-2201, Pisca... 2003
PhD Thesis: Robust Non-Linear Control through Neuroevolution Faustino J. Gomez Technical Report AI-TR-03-303, Department of Computer Sciences, University of Texas at Austin, Augus... 2003
Robust Non-Linear Control through Neuroevolution Faustino J. Gomez PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, 2003. 2003
Self-Organization of Spatiotemporal Receptive Fields and Laterally Connected Direction and Orientation Maps James A. Bednar and Risto Miikkulainen In Computational Neuroscience: Trends in Research, 2003, 52--54, 473-480, 2003. 2003
The Role of Internally Generated Neural Activity in Newborn and Infant Face Preferences James A. Bednar In Olivier Pascalis and Alan Slater, editors, Face Perception in Infancy and Early Childhood,... 2003
The Role of Postsynaptic Potential Decay Rate in Neural Synchrony Yoonsuck Choe and Risto Miikkulainen Neurocomputing, 52-54:707-712, January 2003. 2003
Utilizing Domain Knowledge in Neuroevolution James Fan, Raymond Lau, and Risto Miikkulainen Proceedings of the Twentieth International Conference on Machine Learning (ICML-03, Was... 2003
Adaptive Control Utilising Neural Swarming Alex v. E. Conradie, Risto Miikkulainen, and Christiaan Aldrich In William B. Langdon and Erick Cantu-Paz and Keith E. Mathias and Rajkumar Roy and David Davis and... 2002
Continual Coevolution Through Complexification Kenneth O. Stanley and Risto Miikkulainen In William B. Langdon and Erick Cantu-Paz and Keith E. Mathias and Rajkumar Roy and David Davis and ... 2002
Cultural Enhancement Of Neuroevolution Paul H. McQuesten PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, 2002. Te... 2002
Efficient Evolution Of Neural Network Topologies Kenneth O. Stanley and Risto Miikkulainen In William B. Langdon and Erick Cantu-Paz and Keith E. Mathias and Rajkumar Roy and David Davis and ... 2002
Efficient Reinforcement Learning Through Evolving Neural Network Topologies Kenneth O. Stanley and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2002), 9, San Fr... 2002
Eugenic Evolution Utilizing A Domain Model Matthew Alden, Aard-Jan van Kesteren, and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2002), 279-286, ... 2002
Evolving Neural Networks Through Augmenting Topologies Kenneth O. Stanley and Risto Miikkulainen Evolutionary Computation, 10(2):99-127, 2002. 2002
Intelligent Process Control Utilizing Symbiotic Memetic Neuro-Evolution Alex v. E. Conradie, Risto Miikkulainen, and Christiaan Aldrich In Proceedings of the 2002 Congress on Evolutionary Computation, 6, 2002. 2002
Learning to See: Genetic and Environmental Influences on Visual Development James A. Bednar PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, May 2002. Also Techn... 2002
Modeling Directional Selectivity Using Self-Organizing Delay-Adaptation Maps Tal Tversky and Risto Miikkulainen Neurocomputing, 44--46:679--684, 2002. Also in J. M. Bower (editor), Computational Neuroscien... 2002
Modeling Large Cortical Networks With Growing Self-Organizing Maps James A. Bednar, Amol Kelkar, and Risto Miikkulainen In Computational Neuroscience, 44--46, 315-321, 2002. 2002
Neonatal Learning Of Faces: Environmental And Genetic Influences James A. Bednar and Risto Miikkulainen In Proceedings of the 24th Annual Conference of the Cognitive Science Society, 107-112, 2002. 2002
Neuroevolution through Augmenting Topologies Applied to Evolving Neural Networks to Play Othello Timothy Andersen Technical Report HR-02-01, Department of Computer Sciences, The University of Texas at Austin, 2002. 2002
Numerical Optimization With Neuroevolution Brian Greer, Henri Hakonen, Risto Lahdelma, and Risto Miikkulainen In Proceedings of the 2002 Congress on Evolutionary Computation, 361-401, Piscataway, NJ, 20... 2002
Text and Discourse Understanding: The DISCERN System Risto Miikkulainen In R. Dale, H. Moisl and H. Somers, editors, A Handbook of Natural Language Processing: Technique... 2002
The Dominance Tournament Method of Monitoring Progress in Coevolution Kenneth O. Stanley and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference ({GECCO}-2002) Workshop Pr... 2002
A Model Of Infant Causal Perception And Its Development Harold H. Chaput and Leslie B. Cohen In Proceedings of the 23rd Annual Conference of the Cognitive Science Society, 182-187, 2001... 2001
A Neuroevolution Method For Dynamic Resource Allocation On A Chip Multiprocessor Faustino J. Gomez, Doug Burger, and Risto Miikkulainen In Proceedings of the {INNS-IEEE} International Joint Conference on Neural Networks, 2355-23... 2001
Abrupt And Gradual Sound Change In An Expanding Lexicon Melissa A. Redford and Risto Miikkulainen Technical Report AI01-289, Department of Computer Sciences, The University of Texas at Austin, 2001. 2001
Applying ESP And Region Specialists To Neuro-Evolution For Go Andres Santiago Perez-Bergquist Technical Report TR-01-24, Department of Computer Science, University of Texas at Austin, 2001. 2001
Co-Evolving A Go-Playing Neural Network Alex Lubberts and Risto Miikkulainen In Coevolution: {T}urning Adaptive Algorithms Upon Themselves, Birds-of-a-Feather Workshop, Gene... 2001
Constrained Emergence Of Universals And Variation In Syllable Systems Melissa A. Redford, Chun Chi Chen, and Risto Miikkulainen Language and Speech:27-56, 2001. Manuscript. 2001
Cooperative Coevolution Of Multi-Agent Systems Chern Han Yong and Risto Miikkulainen Technical Report AI07-338, Department of Computer Sciences, The University of Texas at Austin, 2001. 2001
Creating Melodies With Evolving Recurrent Neural Networks Chun-Chi J. Chen and Risto Miikkulainen In Proceedings of the {INNS-IEEE} International Joint Conference on Neural Networks, 2241-22... 2001
Evolving Populations Of Expert Neural Networks Joseph Bruce and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 251-257, San Francisco... 2001
From Word Stream To Gestalt: A Direct Semantic Parse For Complex Sentences Bobby D. Bryant and Risto Miikkulainen Technical Report AI98-274, AI Lab, University of Texas at Austin, Austin, TX, June 2001. 2001
Numerical Optimization with Neuroevolution Brian Greer Technical Report TR-01-49, Department of Computer Science, The University of Texas at Austin, 2001. 2001
Perceptual Grouping In A Self-Organizing Map Of Spiking Neurons Yoonsuck Choe PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, 2001. 13... 2001
Post-Piagetian constructivism for grounded knowledge acquisition Harold H. Chaput In Proceedings of the AAAI Spring Symposium Series on Grounded Knoweldge, Palo Alto, CA, 2001... 2001
Scaling Self-Organizing Maps To Model Large Cortical Networks James A. Bednar, Amol Kelkar, and Risto Miikkulainen Neuroinformatics:275-302, 2001. 2001
Semantic Effect On Episodic Associations Yaron Silberman, Risto Miikkulainen, and Shlomo Bentin In Proceedings of the 23rd Annual Conference of the Cognitive Science Society, 934-939, 2001... 2001
Toward Learning the Causal Layer of the Spatial Semantic Hierarchy using SOMs Jefferson Provost, Patrick Beeson, and Benjamin J. Kuipers In AAAI Spring Symposium Series, Learning Grounded Representations, 2001. 2001
A Self-Organizing Neural Network For Contour Integration Through Synchronized Firing Yoonsuck Choe and Risto Miikkulainen Proceedings of the 17th National Conference on Artificial Intelligence (AAAI-2000, Aust... 2000
Automatic Music Composition using Genetic Algorithm and Neural Networks: A Constrained Evolution Approach Chun-Chi Chen Technical Report HR-00-02, Department of Computer Sciences, The University of Texas at Austin, 2000. 2000
Cooperative Coevolution of Multi-Agent Systems Chern Han Yong Technical Report HR-00-01, Department of Computer Sciences, The University of Texas at Austin, 2000. 2000
Effects Of Presynaptic And Postsynaptic Resource Redistribution In Hebbian Weight Adaptation Yoonsuck Choe, Risto Miikkulainen, and Lawrence K. Cormack Neurocomputing, 32--33:77-82, 2000. 2000
Eugenic Neuro-Evolution For Reinforcement Learning Daniel Polani and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000), 1041-1046... 2000
Hebbian Learning And Temporary Storage In The Convergence-Zone Model Of Episodic Memory Michael Howe and Risto Miikkulainen Neurocomputing, 32--33:817--821, 2000. Also J. M. Bower (editor), Computational Neuroscience:... 2000
Internally-Generated Activity, Non-Episodic Memory, and Emotional Salience in Sleep James A. Bednar In S. Harnad and E. Pace-Schott and M. Blagrove and M. Solms, editors, Sleep and Dreaming: Scient... 2000
Neuro-Evolution And Natural Deduction Nirav S. Desai and Risto Miikkulainen In Proceedings of The First {IEEE} Symposium on Combinations of Evolutionary Computation and Neu... 2000
Online Interactive Neuro-Evolution Adrian Agogino, Kenneth O. Stanley, and Risto Miikkulainen Neural Processing Letters:29-38, 2000. 2000
Self-Organization Of Innate Face Preferences: Could Genetics Be Expressed Through Learning? James A. Bednar and Risto Miikkulainen In Proceedings of the 17th National Conference on Artificial Intelligence and the 12th Annual Con... 2000
Tilt Aftereffects In A Self-Organizing Model Of The Primary Visual Cortex James A. Bednar and Risto Miikkulainen Neural Computation, 12:1721-1740, 2000. 2000
Confidence Based Dual Reinforcement Q-Routing: An Adaptive On-Line Routing Algorithm Shailesh Kumar and Risto Miikkulainen In 16th International Joint Conference on Artificial Intelligence (IJCAI-99), 758--763, Stock... 1999
Disambiguation And Grammar As Emergent Soft Constraints Risto Miikkulainen and Marshall R. Mayberry III In Brian J. MacWhinney, editors, Workshop on Thought and Language, 20-31, Iizuka, Japan, 1999... 1999
Modeling The Self-Organization Of Directional Selectivity In The Primary Visual Cortex Igor Farkas and Risto Miikkulainen In Erkki Oja and Samuel Kaski, editors, Proceedings of the Ninth International Conference on Arti... 1999
SARDSRN: A Neural Network Shift-Reduce Parser Marshall R. Mayberry III and Risto Miikkulainen In Proceedings of the 16th Annual International Joint Conference on Artificial Intelligence (IJCA... 1999
Solving Non-Markovian Control Tasks With Neuroevolution Faustino J. Gomez and Risto Miikkulainen In Proceedings of the International Joint Conference on Artificial Intelligence, 1356-1361, S... 1999
Using a Sequential SOM to Parse Long-Term Dependencies Marshall R. Mayberry III and Risto Miikkulainen In Martin Hahn and Scott C. Stoness, editors, Proceedings of the 21st Annual Conference of the Co... 1999
2-D Pole Balancing With Recurrent Evolutionary Networks Faustino Gomez and Risto Miikkulainen In Proceedings of the International Conference on Artificial Neural Networks (ICANN-98), 425-... 1998
A Self-Organizing Neural Network Model of the Primary Visual Cortex Risto Miikkulainen, James Bednar, Yoonsuck Choe, and Joseph Sirosh In S. Usui, T. Omori, editors, Proceedings of the Fifth International Conference on Neural Inform... 1998
Confidence Based Dual Reinforcement Q-Routing: An On-Line Adaptive Network Routing Algorithm Shailesh Kumar Masters Thesis, Department of Computer Sciences, the University of Texas at Austin., May 1998. 108. ... 1998
Confidence Based Q-Routing: An On-Line Adaptive Network Routing Algorithm Shailesh Kumar and Risto Miikkulainen C. H. Dagli and M. Akay and O. Ersoy and B. R. Fernandez and A. Smith, editors, Smart Engineering... 1998
Eugenic Evolution For Combinatorial Optimization John W. Prior Masters Thesis, Department of Computer Sciences, The University of Texas at Austin, 1998. 126. Techn... 1998
Evolving Hierarchical Neural Networks to Play Go Todd Greer Technical Report HR-94-01, Department of Computer Science, The University of Texas at Austin, 1998. 1998
Evolving Neural Networks To Play Go Norman Richards, David Moriarty, and Risto Miikkulainen In Thomas B{"a}ck, editors, Proceedings of the Seventh International Conference on Genetic Algori... 1998
Hierarchical Evolution Of Neural Networks David E. Moriarty and Risto Miikkulainen In Proceedings of the 1998 IEEE Conference on Evolutionary Computation (ICEC98), 428-433, Anc... 1998
Intrusion Detection With Neural Networks Jake Ryan, Meng-Jang Lin, and Risto Miikkulainen In Michael I. Jordan and Michael J. Kearns and Sara A. Solla, editors, Advances in Neural Informa... 1998
Modeling The Emergence Of Syllable Systems Melissa A. Redford, Chun Chi Chen, and Risto Miikkulainen In Morton Ann Gernsbacher and Sharon J. Derry, editors, Proceedings of the 20th Annual Conference... 1998
Pattern-Generator-Driven Development In Self-Organizing Models James A. Bednar and Risto Miikkulainen In Computational Neuroscience: Trends in Research, 1998, 317-323, 1998. 1998
Self-Organization And Segmentation In A Laterally Connected Orientation Map Of Spiking Neurons Yoonsuck Choe and Risto Miikkulainen Neurocomputing:139-157, 1998. 1998
Convergence-Zone Episodic Memory: Analysis And Simulations Mark Moll and Risto Miikkulainen Neural Networks, 10:1017--1036, 1997. 1997
Culling And Teaching In Neuro-Evolution Paul McQuesten and Risto Miikkulainen In Thomas B{"a}ck, editors, Proceedings of the Seventh International Conference on Genetic Algori... 1997
Dual Reinforcement Q-Routing: An On-Line Adaptive Routing Algorithm Shailesh Kumar and Risto Miikkulainen C. H. Dagli, M. Akay, O. Ersoy, B. R. Fernandez and A. Smith, editors, Smart Engineering Systems:... 1997
Dyslexic and Category-Specific Aphasic Impairments in a Self-Organizing Feature Map Model of the Lexicon Risto Miikkulainen Brain and Language:334-366, 1997. 1997
Forming Neural Networks Through Efficient And Adaptive Coevolution David E. Moriarty and Risto Miikkulainen Evolutionary Computation, 5:373--399, 1997. 1997
Incremental Evolution Of Complex General Behavior Faustino Gomez and Risto Miikkulainen Adaptive Behavior(5):317-342, 1997. 1997
Natural Language Processing With Subsymbolic Neural Networks Risto Miikkulainen In Antony Browne, editors, Neural Network Perspectives on Cognition and Adaptive Robotics, 12... 1997
Reflections in Silicon: Artificial and Natural Neural Networks Rick W. Tanney Masters Thesis, Department of Philosophy, the University of Texas at Austin, Austin, TX, 1997. 1997
Self-Organization And Segmentation With Laterally Connected Spiking Neurons Yoonsuck Choe and Risto Miikkulainen In Proceedings of the 15th International Joint Conference on Artificial Intelligence (IJCAI-97) 1997
Self-Organization, Plasticity, and Low-Level Visual Phenomena in a Laterally Connected Map Model of the Primary Visual Cortex Risto Miikkulainen, James A. Bednar, Yoonsuck Choe, and Joseph Sirosh In R. L. Goldstone and P. G. Schyns and D. L. Medin, editors, Perceptual Learning, Psychology... 1997
Symbiotic Evolution Of Neural Networks In Sequential Decision Tasks David E. Moriarty PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, 1997. 117. Technical... 1997
Tilt Aftereffects in a Self-Organizing Model of the Primary Visual Cortex James A. Bednar Masters Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, 1997... 1997
Visual Schemas In Neural Networks For Object Recognition And Scene Analysis Wee Kheng Leow, Risto Miikkulainen In Michael A. Arbib, editors, The Handbook of Brain Theory and Neural Networks, 1029-1031, Ca... 1997
A Neural Network Model of Topographic Reorganization Following Cortical Lesions Joseph Sirosh and Risto Miikkulainen In M. Witten, editors, Computational Medicine, Public Health and Biotechnology: Building a Man in... 1996
Efficient Reinforcement Learning Through Symbiotic Evolution David E. Moriarty and Risto Miikkulainen In Leslie Pack Kaelbling, editors, Recent Advances in Reinforcement Learning(AI94-224), 11-32... 1996
Evolving Obstacle Avoidance Behavior In A Robot Arm David E. Moriarty and Risto Miikkulainen In Pattie Maes and Maja J. Mataric and Jean-Arcady Meyer and Jordan Pollack and Stewart W. Wilson, ... 1996
Introduction: The Emerging Understanding of Lateral Interactions in the Cortex Risto Miikkulainen and Joseph Sirosh In Sirosh, J., Miikkulainen, R., and Choe, Y., editors, Lateral Interactions in the Cortex: Struc... 1996
Lateral Interactions In The Cortex: Structure And Function Joseph Sirosh, Risto Miikkulainen, and Yoonsuck Choe (editors) Electronic book, ISBN 0-9647060-0-8, http://nn.cs.utexas.edu/web-pubs/htmlbook96/. Austin, TX: The U... 1996
Laterally Interconnected Self-Organizing Maps In Hand-Written Digit Recognition Yoonsuck Choe, Joseph Sirosh, and Risto Miikkulainen In David S. Touretzky and Michael C. Mozer and Michael E. Hasselmo, editors, Advances in Neural ... 1996
On-Line Adaptation Of A Signal Predistorter Through Dual Reinforcement Learning Patrick Goetz, Shailesh Kumar and Risto Miikkulainen In Lorenza Saitta, editors, Machine Learning: Proceedings of the 13th Annual Conference (Bari, It... 1996
Self-Organization and Functional Role of Lateral Connections and Multisize Receptive Fields in the Primary Visual Cortex Joseph Sirosh and Risto Miikkulainen Neural Processing Letters, 3:39-48, 1996. 1996
Self-Organization of Orientation Maps, Lateral Connections, and Dynamic Receptive Fields in the Primary Visual Cortex Joseph Sirosh, Risto Miikkulainen and James A. Bednar In Joseph Sirosh and Risto Miikkulainen and Yoonsuck Choe, editors, {P}roceedings of the {I}nter... 1996
Subsymbolic Case-Role Analysis Of Sentences With Embedded Clauses Risto Miikkulainen Cognitive Science, 20:47-73, 1996. 1996
Topographic Receptive Fields and Patterned Lateral Interaction in a Self-Organizing Model of the Primary Visual Cortex Joseph Sirosh and Risto Miikkulainen Neural Computation, 9:577-594, 1996. 1996
A Model Of Visually Guided Plasticity Of The Auditory Spatial Map In The Barn Owl Andrea Haessly, Joseph Sirosh and Risto Miikkulainen In Proceedings of the 17th Annual Conference of the Cognitive Science Society, 154-158, 1995.... 1995
A Self-Organizing Neural Network Model Of The Primary Visual Cortex Joseph Sirosh PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, 1995. Te... 1995
Discovering Complex Othello Strategies Through Evolutionary Neural Networks David E. Moriarty and Risto Miikkulainen Connection Science, 7:195--209, 1995. 1995
Laterally Interconnected Self-Organizing Feature Map In Handwritten Digit Recognition Yoonsuck Choe Masters Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, 1995... 1995
Learning Sequential Decision Tasks David E. Moriarty and Risto Miikkulainen Technical Report AI95-229, Department of Computer Sciences, The University of Texas at Austin, 1995. 1995
Modeling Cortical Plasticity Based On Adapting Lateral Interaction Joseph Sirosh and Risto Miikkulainen In James M. Bower, editors, The Neurobiology of Computation: {T}he Proceedings of the Third Annu... 1995
Ocular Dominance and Patterned Lateral Connections in a Self-Organizing Model of the Primary Visual Cortex Joseph Sirosh and Risto Miikkulainen In Gerald Tesauro and David S. Touretzky and Todd K. Leen, editors, Advances in Neural Informatio... 1995
SARDNET: A Self-Organizing Feature Map For Sequences Daniel L. James and Risto Miikkulainen In G. Tesauro, D. S. Touretzky, and T. K. Leen, editors, Advances in Neural Information Processin... 1995
Script-Based Inference And Memory Retrieval In Subsymbolic Story Processing Risto Miikkulainen Applied Intelligence:137-163, 1995. 1995
Visual Schemas In Object Recognition And Scene Analysis Risto Miikkulainen and Wee Kheng Leow In M. A. Arbib, editors, The Handbook of Brain Theory and Neural Networks, 1029--1031, Cambri... 1995
Visualizing High-Dimensional Structure with the Incremental Grid Growing Network Justine Blackmore Masters Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, 1995... 1995
Visualizing High-Dimensional Structure With The Incremental Grid Growing Neural Network Justine Blackmore and Risto Miikkulainen In Armand Prieditis and Stuart Russell, editors, Machine Learning: Proceedings of the 12th Annual... 1995
A Connectionist Corpus-Based Approach to the Building of Word Representations Rupert L. Tang Technical Report HR-94-01, Department of Computer Science, The University of Texas at Austin, 1994. 1994
Cooperative Self-Organization Of Afferent And Lateral Connections In Cortical Maps Joseph Sirosh and Risto Miikkulainen Biological Cybernetics:66-78, 1994. 1994
Evolutionary Neural Networks For Value Ordering In Constraint Satisfaction Problems David E. Moriarty and Risto Miikkulainen Technical Report AI94-218, Department of Computer Sciences, The University of Texas at Austin, 1994. 1994
Evolving Neural Networks To Focus Minimax Search David E. Moriarty and Risto Miikkulainen In Proceedings of the Twelfth National Conference on Artificial Intelligence (AAAI-94), 1371-... 1994
Grounding Robotic Control With Genetic Neural Networks Diane Law and Risto Miikkulainen Technical Report AI94-223, Department of Computer Sciences, The University of Texas at Austin, 1994. 1994
Integrated Connectionist Models: Building AI Systems on Subsymbolic Foundations Risto Miikkulainen Honavar, V., and Uhr, L., editors, Artificial Intelligence and Neural Networks: Steps Toward Prin... 1994
Lexical Disambiguation Based on Distributed Representations of Context Frequency Marshall R. Mayberry III and Risto Miikkulainen In Ashwin Ram and Kurt Eiselt, editors, Proceedings of the 16th Annual Conference of the Cognitiv... 1994
Parsing Embedded Clauses with Distributed Neural Networks Risto Miikkulainen and Dennis Bijwaard In Proceedings of the Twelfth National Conference on Artificial Intelligence, 858-864, Januar... 1994
Parsing Embedded Clauses with Distributed Neural Networks Risto Miikkulainen and Dennis Bijwaard In Proceedings of the Twelfth National Conference on Artificial Intelligence, 858-864, Januar... 1994
Priming, Perceptual Reversal, And Circular Reaction In A Neural Network Model Of Schema-Based Vision Wee Kheng Leow and Risto Miikkulainen In Ashwin Ram and Kurt Eiselt, editors, Proceedings of the 16th Annual Conference of the Cognitiv... 1994
Representing And Learning Visual Schemas In Neural Networks For Scene Analysis Wee Kheng Leow and Risto Miikkulainen In Proceedings of the Workshop on Neural Architectures and Distributed {AI}: {F}rom Schema Assemb... 1994
Searle, Subsymbolic Functionalism And Synthetic Intelligence Diane Law Technical Report, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, 19... 1994
Self-Organizing Feature Maps With Lateral Connections: Modeling Ocular Dominance Joseph Sirosh and Risto Miikkulainen In M. C. Mozer and P. Smolensky and D. S. Touretzky and J. L. Elman and A. S. Weigend, editors, ... 1994
The Capacity Of Convergence-Zone Episodic Memory Mark Moll, Risto Miikkulainen, Jonathan Abbey In Proceedings of the Twelfth National Conference on Artificial Intelligence (AAAI-94), 68-73... 1994
Verb Inflections in German Child Language: A Connectionist Account Gert Westermann and Risto Miikkulainen In Ashwin Ram and Kurt Eiselt, editors, Proceedings of the 16th Annual Conference of the Cognitiv... 1994
VISOR: Learning Visual Schemas In Neural Networks For Object Recognition And Scene Analysis Wee Kheng Leow PhD Thesis, Department of Computer Sciences, The University of Texas at Austin, Austin, TX, June 199... 1994
VISOR: Schema-Based Scene Analysis With Structured Neural Networks Wee Kheng Leow and Risto Miikkulainen Neural Processing Letters, 1:18--23, 1994. 1994
How Lateral Interaction Develops In A Self-Organizing Feature Map Joseph Sirosh and Risto Miikkulainen In Proceedings of the IEEE International Conference on Neural Networks (San Francisco, CA), 1... 1993
Incremental Grid Growing: Encoding High-Dimensional Structure Into A Two-Dimensional Feature Map Justine Blackmore and Risto Miikkulainen In Proceedings of the IEEE International Conference on Neural Networks (San Francisco, CA), 4... 1993
Multi-Level Neural Network Language Translator James A. Bednar Technical Report HR-93-01, Department of Computer Sciences, The University of Texas at Austin, 1993. 1993
Representing Visual Schemas in Neural Networks for Scene Analysis Wee Kheng Leow and Risto Miikkulainen In Proceedings of the IEEE Conference on Neural Networks (ICNN-93), 1612-1617, San Francisco,... 1993
Subsymbolic Natural Language Processing: An Integrated Model Of Scripts, Lexicon, And Memory Risto Miikkulainen , Cambridge, MA, 1993. MIT Press. 1993
Data Rectification Using Recurrent (Elman) Neural Networks Thomas W. Karjala, David M. Himmelblau and Risto Miikkulainen In Proceedings of the International Joint Conference on Neural Networks (IJCNN-92), II, 901--... 1992
Trace Feature Map: A Model Of Episodic Associative Memory Risto Miikkulainen Biological Cybernetics, 66:273--282, 1992. 1992
A Neural Network For Attentional Spotlight Wee Kheng Leow and Risto Miikkulainen In Proceedings of the International Joint Conference on Neural Networks (Singapore)(AI91-165)... 1991
Evolving Finite State Behavior using Marker-Based Genetic Encoding of Neural Networks Brad Fullmer Technical Report HR-91-01, Department of Computer Science, The University of Texas at Austin, 1991. 1991
Natural Language Processing With Modular PDP Networks And Distributed Lexicon Risto Miikkulainen and Michael G. Dyer Cognitive Science, 15:343-399, 1991. 1991
Self-Organizing Process Based On Lateral Inhibition And Synaptic Resource Redistribution Risto Miikkulainen In Teuvo Kohonen and Kai M{"a}kisara and Olli Simula and Jari Kangas, editors, Proceedings of the... 1991
Using Marker-Based Genetic Encoding Of Neural Networks To Evolve Finite-State Behaviour Brad Fullmer and Risto Miikkulainen In Francisco J. Varela and Paul Bourgine, editors, Toward a Practice of Autonomous Systems: {P}ro... 1991
A PDP Architecture For Processing Sentences With Relative Clauses Risto Miikkulainen In Proceedings of the 13th International Conference on Computational Linguistics (COLING-90),... 1990
DISCERN: A Distributed Artificial Neural Network Model Of Script Processing And Memory Risto Miikkulainen PhD Thesis, University of California, 1990. 334. 1990
Distributed Connectionist Knowledge Representations in Script/Goal-Based Story Understanding Geunbae Lee and Risto Miikkulainen In Proceedings of Seoul International Conference on Natural Language Processing (SICONLP-90),... 1990
Script Recognition With Hierarchical Feature Maps Risto Miikkulainen Connection Science, 2:83-101, 1990. 1990
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