Concept and Schema Learning
An agent can truly understand the meaning of its knowledge structures, and utilize them most effectively, only if that knowledge is grounded on sensorimotor interactions with the world. We aim at building systems that learn such grounded representations, from basic causal concepts to high-level schemas of visual scenes.
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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

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

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

Category Learning Systems Dagmar Zeithamova PhD Thesis, Institute for Neuroscience, The University of Texas at Austin, 2008. 2008

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

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

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

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

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

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

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

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

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

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

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

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

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

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

VISOR: Schema-Based Scene Analysis With Structured Neural Networks Wee Kheng Leow and Risto Miikkulainen Neural Processing Letters, 1:18--23, 1994. 1994

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

Harold H. Chaput Ph.D. Alumni hchaput [at] ea com
Igor Farkas Postdoctoral Alumni farkas [at] fmph uniba sk
Lisa C. Kaczmarczyk Ph.D. Alumni lisakacz [at] gmail com
Wee Kheng Leow Ph.D. Alumni leowwk [at] comp nus edu sg
Risto Miikkulainen Faculty risto [at] cs utexas edu
Jefferson Provost Ph.D. Alumni jefferson provost [at] gmail com
Lappoon R. Tang Undergraduate Alumni ltang [at] utb edu
Gert Westermann Former Visitor gwestermann [at] brookes ac uk
Paul Williams Undergraduate Alumni pwilly [at] cs utexas edu
Dasa Zeithamova Former Collaborator zeithamova [at] mail utexas edu
DISLEX

This package contains the C-code and data for training and testing the DISLEX model of the lexicon, which is also par...

1994

FGREPNET The FGREPNET package contains the C-code and data for training and testing an FGREP network in developing distributed re... 1994

HFM The HFM package contains the C-code and data for training and testing the HFM memory organization and hierarchical class... 1994