Cognitive Science attempts to build computational models of human (and animal) cognitive processes in order to improve our understanding of natural intelligent systems. It is closely tied to research in cognitive psychology.
Latent Variable Models of Distributional Lexical Semantics [Details] [PDF] Joseph Reisinger PhD Thesis, Department of Computer Science, University of Texas at Austin, May 2012.
Integrating Theory and Data in Category Learning [Details] [PDF] Raymond J. Mooney In G. V. Nakamura and D. L. Medin and R. Taraban, editors, Categorization by Humans and Machines, 189-218, 1993.
Induction Over the Unexplained: Using Overly-General Domain Theories to Aid Concept Learning [Details] [PDF] Raymond J. Mooney Machine Learning, 10:79-110, 1993.
Schema acquisition from a single example [Details] [PDF] W. Ahn, W. F. Brewer and Raymond J. Mooney Journal of Experimental Psychology: Learning, Memory, and Cognition, 18:391-412, 1992.
Learning Plan Schemata From Observation: Explanation-Based Learning for Plan Recognition [Details] [PDF] Raymond J. Mooney Cognitive Science, 14(4):483-509, 1990.
Integrated Learning of Words and their Underlying Concepts [Details] [PDF] Raymond J. Mooney In Proceedings of the Ninth Annual Conference of the Cognitive Science Society, 947-978, Seattle, WA, July 1987.
Schema Acquisition from One Example: Psychological Evidence for Explanation-Based Learning [Details] [PDF] W. Ahn, Raymond J. Mooney, W.F. Brewer and G.F. DeJong In Proceedings of the Ninth Annual Conference of the Cognitive Science Society, 50-57, Seattle, WA, July 1987.