Publications
Filter by Area Also show archived
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 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

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

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

Using context to make gas classifiers robust 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

Domain-Independent Lifelong Problem Solving through Distributed Alife Actors Babak Hodjat, Hormoz Shahrzad, and Risto Miikkulainen Artificial Life, 2023. 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

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