| Context-Driven Construction Learning | N. Chang and O. Gurevich | Proceedings of the 26th Annual Meeting of the Cognitive Science Society, Chicago, Illinois | August 2004 | AI | [PDF]
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| Context and Causality in Cognitive Science | J. Feldman | To appear in the Journal of the Royal Society Interface | 0000 | AI | |
| Constructions for Elaboration and Specification in Japanese and English | R. Lee-Goldman and S. Fujii | Proceedings of the 6th International Conference on Construction Grammar (ICCG-6), Prague, Czech Republic | September 2010 | AI | |
| Constructional Meaning and Compositionality | P. Kay and L. A. Michaelis. | In Semantics: An International Handbook of Natural Language Meaning, HSK Handbooks of Linguistics and Communication Science Series: 23: Semantics and Computer Science, C. Maienborn, K. von Heusinger and P. Portner, eds., Mouton de Gruyter | 2008 | AI | [PDF]
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| Constructing Grammar: A Computational Model of the Emergence of Early Constructions | N. Chang | UC Berkeley dissertation | February 2009 | AI | [PDF]
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| Constructing and Utilizing Wordnets using Statistical Methods | G. de Melo and G. Weikum | Journal of Language Resources and Evaluation, Vol. 46, Issue 2, pp. 287-311 | June 2012 | AI | |
| Constraining Computational Models of Cognition | T. Regier | Encyclopedia of Cognitive Science, L. Nadel, ed., pp. 611-615, Macmillan | 2003 | AI | |
| Connections: Massive Parallelism in Natural and Artificial Intelligence | J.A. Feldman | BYTE Magazine, pp. 277-284 | April 1985 | AI | |
| Connectionist Systems | J.A. Feldman et. al | Annual Review of Computer Science, Vol. 4, pp. 369-383 | 1990 | AI | |
| Connectionist Symbol Processing: Dead or Alive? | A. Jagota, T. Plate, L. Shastri, and R. Sun (eds.) | Neural Computing Surveys, Vol. 2, pp. 1-40 | 1999 | AI | |
| Connectionist Representation of Concepts | J.A. Feldman | Connectionism in Perspective, pp. 25-45, R. Pfeifer (ed.), Elsevier Science Publishers B.V. | 1989 | AI | |
| Connectionist Representation of Concepts | J.A. Feldman | D. Waltz and J. A. Feldman (eds.), Connectionist Models and Their Applications | 1988 | AI | |
| Connectionist Models and Their Properties | J.A. Feldman and D.H. Ballard | Cognitive Science, Vol. 6, pp. 205-254 | 1982 | AI | |
| Connectionist Models and Their Applications | D. Waltz and J.A. Feldman (eds.) | Ablex Publishing Company | 1988 | AI | |
| Connectionist Models and Their Applications | J.A. Feldman | Introduction to Special Issue in Cognitive Science, Vol. 9, No. 1, pp. 1-2 | January 1985 | AI | |
| Connectionist Models and Parallelism in High Level Vision | J.A. Feldman | CVGIP, Special Issue on in Human and Machine Vision, Vol. 31, pp. 178-200. Also TR146, Computer Science Department, University of Rochester, New York | 1985 | AI | |
| Connectionist Models and Cognitive Science: Goals, Directions and Implications | J.A. Feldman, J.L. McClelland, G. Bower, and D. McDermott | Position paper from NSF Workshop on Connectionist Modeling | 1986 | AI | |
| Connectionist Mechanisms for Cognitive Control | C. Wendelken and L. Shastri | Submitted for publication, 2004 | January 05 2004 | AI | |
| Connectionism | J. Feldman and L. Shastri | Encyclopedia of Cognitive Science, Nature Publishing Group, MacMillan, London, 2003. | 2003 | AI | |
| Computing with Structured Neural Networks | J.A. Feldman, M.A. Fanty, and N.H. Goddard | IEEE Computer, Vol. 21, Issue 3, pp. 91-103 | 1988 | AI | |
| Computing with Structured Connectionist Networks | J.A. Feldman et. al | An Introduction to Neural and Electronic Networks, pp. 434-454, S. F. Zornetzer, J. L. Davis, and C. Lau (eds.), Harcourt Brace Jovanovich, Publishers | 1990 | AI | |
| Computing with Structured Connectionist Networks | J.A. Feldman, M.A. Fanty, N.H. Goddard, and K.J. Lynne | Communications of the ACM, Vol. 31, Issue 2, pp. 170-187 | 1988 | AI | |
| Computing with Connections | J.A. Feldman and D.H. Ballard | TR72, Computer Science Department, University of Rochester, New York. Also in Human and Machine Vision, A. Rosenfeld and J. Beck (eds.), 1982 | April 1981 | AI | |
| Computational Models of Figurative Language | B. Loenneker-Rodman and S. Narayanan | Cambridge Encyclopedia of Psycholinguistics, Cambridge University Press, 2010 | 2010 | AI | |
| Computational Models of Figurative Language | B. Loenneker-Rodman and S. Narayanan | Cambridge Encyclopedia of Psycholinguistics, M. Spivey, M. Joanisse, and K. McRae, eds., Cambridge University Press | 2012 | AI | |
| Computational Constraints on Higher Neural Representations | J.A. Feldman | Proceedings of the System Development Foundation Symposium on Computational Neuroscience, E. Schwartz (ed.), Bradford Books/MIT Press | April 1988 | AI | |
| Computational Cognitive Semantics | S. Narayanan | Invited talk at the Second International Workshop on Natural Language Understanding and Cognitive Science (NLUCS 2005), Miami, Florida | May 2005 | AI | |
| Communities of Practice Environment (CoPE): Democratic CSCW for Group Production and e-Learning | D. Thaw, J. Feldman, J. Li, and S. Caballé | In Intelligent Collaborative e-Learning Systems and Applications, T. Daradoumis, S. Caballé, J. M. Marquès, and X. Xhafa, eds., pp. 65-81, Springer-Verlag | 2009 | AI | |
| Communicating with Exectuable Representations | M. Schilling and S. Narayanan | Proceedings of the AAAI Spring Symposium (Designing Intelligent Robots), Stanford University, California | March 2013 | AI | |
| Comment on Brent's Scatter Storage Algorithm | J.A. Feldman and J.R. Low | Communications of the ACM, Vol. 16, Issue 11, p. 703 | 1973 | AI | |
| Coming and Going | C. Fillmore | In Santa Cruz Lectures on Deixis, pp. 50-69 | 1971 | AI | [PDF]
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| Combining Belief and Utility in a Structured Connectionist Agent Architecture | C. Wendelken and L. Shastri | Proceedings of the 24th Annual Conference of the Cognitive Science Society (CogSci 2002), Fairfax, Virginia | August 2002 | AI | [PDF]
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| CoLPE: Support for Communities of Learning Practice by the Effective Embedding of Information and Knowledge About Group Activity | S. Caballé, J. Feldman, and D. Thaw | In Intelligent Collaborative e-Learning Systems and Applications, T. Daradoumis, S. Caballé, J. M. Marquès, and X. Xhafa, eds., pp. 113-127, Springer-Verlag | 2009 | AI | |
| CoLPE: Communities of Learning Practice Environment | S. Caballe and J. Feldman | Proceedings of the 11th Directions and Implications of Advanced Computing (DIAC-2008) and Third Conference on Online Deliberation (OD2008), Berkeley, California, pp. 35-46 | June 2008 | AI | [PDF]
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| Color Naming Universals: The Case of Berinmo | P. Kay and T. Regier | Cognition, Vol. 102, No. 2, pp. 289-298 | February 2007 | AI | |
| Color Naming Reflects Optimal Partitions of Color Space | T. Regier, P. Kay, and N. Khetarpal | Proceedings of the National Academy of Sciences of the United States of America, Vol. 104, No. 4, pp. 1436-1441. DOI:10.1073/pnas.0610341104. | January 2007 | AI | [PDF]
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| Color Naming Lens Aging and Grue: What the Optics of the Aging Eye Can Teach Us About Color Language | J. Hardy, C. Frederick, P. Kay, and J. Werner | Psychological Science, Vol. 16, Issue 4, pp. 321-327 | April 2005 | AI | |
| Color Naming Is Near Optimal | T. Regier, P. Kay, and N. Khetarpal | Proceedings of the 29th Annual Conference of the Cognitive Science Society (CogSci 2007), Nashville, Tennessee, p. 15 | August 2007 | AI | [PDF]
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| Color Naming and Sunlight: Commentary on Lindsey and Brown | T. Regier and P. Kay | Psychological Science, Vol. 15, No. 4, pp. 289-290 | April 2004 | AI | |
| Color Naming and Sunlight | T. Regier and P. Kay | Psychological Science 15, 288-289 | January 05 2004 | AI | |
| Color Categories Are Not Arbitrary | P. Kay | Journal of Cross-Cultural Research | January 05 2004 | AI | |
| Collocational Information in the FrameNet Database | J. Ruppenhofer, C.F. Baker, and C.J. Fillmore | Braasch, Anna and Claus Povlsen (eds.), Proceedings of the Tenth Euralex International Congress. Copenhagen, Denmark. Vol. I: 359-369 | 2002 | AI | |
| Cognitive Science Should Be Unified: Comment on Griffiths et al. and McClelland et al. | J. Feldman | Trends in Cognitive Science, Vol. 14, Issue 8, pp. 339-388 | August 2010 | AI | |
| Cognition as Search: review of Unified Theories of Cognition, (by Allen Newell, Harvard University Press, Cambridge, MA, 1990) | J.A. Feldman | Science, Vol. 251, No. 2, p. 575 | February 1991 | AI | |
| Cleaning up the Big Mess: Discontinuous Dependencies and Complex Determiners | P. Kay and I. A. Sag | In Sign-Based Construction Grammar, H. C. Boas and I. A. Sag, eds., Center for the Study of Language and Information | 2012 | AI | |
| Categorical Perception of Color is Lateralized to the Right Hemisphere in Infants, but to the Left Hemisphere in Adults | A. Franklin, G. V. Drivonikou, L. Bevis, P. Kay, and T. Regier | Proceedings of the National Academy of Sciences of the United States of America, Vol. 105, No. 9, pp. 3221-3225. DOI:10.1073/pnas.0712286105. | March 2008 | AI | [PDF]
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| Capturing Long-Term User Interests in Online Television News Program | F. Hopfgartner | In TV Content Analysis: Techniques and Applications, Chapter 11, CRC Press | 2011 | AI | |
| Capacity Limitations in the Integration of Information Across Saccades | J.A. Feldman, M. Hayhoe, and J. Lachter | Paper presented at ARVO 1991 | 1991 | AI | |
| Building a Large Lexical Databank Which Provides Deep Semantics | C.J. Fillmore, C. Wooters, and C.F. Baker | Proceedings of the Pacific Asian Conference on Language, Information and Computation (PACLIC), Hong Kong | 2001 | AI | |
| Brains and Robots, Two Weak Attempts at the Grand Synthesis | J.A. Feldman | Review for Cognition and Brain Theory | 1984 | AI | |
