A Model of Human Categorization and Similarity Based Upon Category Theory

This report is intended to be read easily by cognitive scientists, neuroscientists interested in cognition, engineers, and scientific investigators in other fields.

[1]  A. Tversky Features of Similarity , 1977 .

[2]  Timothy E. Goldsmith,et al.  Structural knowledge assessment: comparison of referent structures , 1994 .

[3]  D L Medin,et al.  Concepts and conceptual structure. , 1989, The American psychologist.

[4]  Keith E. Williamson,et al.  Invited Talk: Applying Category Theory to Derive Engineering Software from Encoded Knowledge , 2000, AMAST.

[5]  Keith E. Williamson,et al.  Deriving engineering software from requirements , 2000, J. Intell. Manuf..

[6]  Thomas P. Caudell,et al.  Ontologies and Worlds in Category Theory: Implications for Neural Systems , 2006 .

[7]  Timothy E. Goldsmith,et al.  Locus of the Predictive Advantage in Pathfinder-Based Representations of Classroom Knowledge. , 1994 .

[8]  Barbara C. Malt,et al.  Do artifact concepts have cores , 1992 .

[9]  Thomas P. Caudell,et al.  Generalized Lattices Express Parallel Distributed Concept Learning , 2006, 2006 IEEE International Conference on Fuzzy Systems.

[10]  Keith E. Williamson,et al.  Industrial Applications of Software Synthesis via Category Theory—Case Studies Using Specware , 2004, Automated Software Engineering.

[11]  G. Murphy,et al.  Categorizing objects in isolation and in scenes: what a superordinate is good for. , 1989, Journal of experimental psychology. Learning, memory, and cognition.

[12]  S. Lane Categories for the Working Mathematician , 1971 .

[13]  Benjamin C. Pierce,et al.  Basic category theory for computer scientists , 1991, Foundations of computing.