Publication Search Results

Titlesort ascendingAuthorBibliographicDateGroupLinks
Extending Embodied Lexical DevelopmentD. Bailey, N. Chang, S. Narayanan, and J. FeldmanProceedings of 20th Cognitive Science Society Conference, New Jersey, pp. 84-90 1998AI
Evidential Reasoning in Semantic Networks: A Formal TheoryL. Shastri and J.A. FeldmanProceedings of the 9th International Joint Conference on Artificial Intelligence, pp. 465-474 1985AI
Evidential Inference in Activation NetworksJ.A. Feldman and L. ShastriProceedings of the 6th Cognitive Science Conference, Boulder, Colorado 1984AI
Energy Methods in Connectionist ModelingJ.A. FeldmanPattern Recognition, Theory and Applications, P. A. Devijver and J. Kittler (eds.), NATO ASI Series in Computer Science, Vol. F30, pp. 223-247, Springer Verlag 1987AI
Energy and the Behavior of Connectionist ModelsJ.A. FeldmanTR155, Computer Science Department, University of Rochester, New YorkNovember 1985AI
Embodied Verbal Semantics: Evidence from an Image-Verb Matching TaskJ. Feldman, B. Bergen, and S. NarayananProceedings of Cognitive Science Conference. Boston, August 2003.August 2003AI
Embodied Meaning in a Neural Theory of LanguageJ. Feldman and S. NarayananBrain and Language Vol. 89, Issue 2, pp 385-392May 2004AI
Embodied Language, Best-Fit Analysis, and Formal CompositionalityJ. FeldmanPhysics of Life Review, Vol. 7, No. 4, pp. 385-410, Elsevier. DOI:10.1016/j.plrev.2010.06.006December 2010AI[PDF]

Embodied Concept LearningB. Bergen and J. FeldmanIn Handbook of Cognitive Science: An Embodied Approach, P. Calvo and T. Gomila, pp. 313-332, Elsevier 2008AI[PDF]

Ecological Expected Utility and the Mythical Neural CodeJ. FeldmanCognitive Neurodynamics, Vol. 4, No. 1, pp. 25-35March 2010AI[PDF]

Dynamic Connections in Neural NetworksJ.A. FeldmanBiological Cybernetics, Vol. 46, pp. 27-39 1982AI
Designing a Connectionist Network SupercomputerK. Asanovic, J. Beck, J. Feldman, N. Morgan, and J. WawrzynekInternational Journal of Neural SystemsDecember 1993AI
Designing a Connectionist Network SupercomputerJ. Feldman et. alProceedings of the Third International Conference on Microelectronics for Neural Networks, Edinburgh, Scotland, United Kingdom, pp. 253-262. UnivEd Technologies Ltd., University of Edinburgh.April 1993AI
Decision Theory and Artificial Intelligence: I. A Semantics-Based Region AnalyzerJ.A. Feldman and Y. YakimovskyJournal of Artificial Intelligence, Vol. 5, Issue 4, pp. 349-371 1974AI
CPRM: An Expressive Probabilistic Framework for Reasoning About Event StructureS. Narayanan and J. FeldmanSubmitted for publication, 2004 2004AI
Conventional and Connectionist Parallel ComputationJ.A. FeldmanApplied Computer Science and Software, H. Schwaertzel (ed.), Springer-Verlag 1991AI
Context and Causality in Cognitive ScienceJ. FeldmanTo appear in the Journal of the Royal Society Interface 0000AI
Connections: Massive Parallelism in Natural and Artificial IntelligenceJ.A. FeldmanBYTE Magazine, pp. 277-284April 1985AI
Connectionist SystemsJ.A. Feldman et. alAnnual Review of Computer Science, Vol. 4, pp. 369-383 1990AI
Connectionist Representation of ConceptsJ.A. FeldmanConnectionism in Perspective, pp. 25-45, R. Pfeifer (ed.), Elsevier Science Publishers B.V. 1989AI
Connectionist Representation of ConceptsJ.A. FeldmanD. Waltz and J. A. Feldman (eds.), Connectionist Models and Their Applications 1988AI
Connectionist Models and Their PropertiesJ.A. Feldman and D.H. BallardCognitive Science, Vol. 6, pp. 205-254 1982AI
Connectionist Models and Their ApplicationsD. Waltz and J.A. Feldman (eds.)Ablex Publishing Company 1988AI
Connectionist Models and Their ApplicationsJ.A. FeldmanIntroduction to Special Issue in Cognitive Science, Vol. 9, No. 1, pp. 1-2January 1985AI
Connectionist Models and Parallelism in High Level VisionJ.A. FeldmanCVGIP, Special Issue on in Human and Machine Vision, Vol. 31, pp. 178-200. Also TR146, Computer Science Department, University of Rochester, New York 1985AI
Connectionist Models and Cognitive Science: Goals, Directions and ImplicationsJ.A. Feldman, J.L. McClelland, G. Bower, and D. McDermottPosition paper from NSF Workshop on Connectionist Modeling 1986AI
ConnectionismJ. Feldman and L. ShastriEncyclopedia of Cognitive Science, Nature Publishing Group, MacMillan, London, 2003. 2003AI
Computing with Structured Neural NetworksJ.A. Feldman, M.A. Fanty, and N.H. GoddardIEEE Computer, Vol. 21, Issue 3, pp. 91-103 1988AI
Computing with Structured Connectionist NetworksJ.A. Feldman et. alAn Introduction to Neural and Electronic Networks, pp. 434-454, S. F. Zornetzer, J. L. Davis, and C. Lau (eds.), Harcourt Brace Jovanovich, Publishers 1990AI
Computing with Structured Connectionist NetworksJ.A. Feldman, M.A. Fanty, N.H. Goddard, and K.J. LynneCommunications of the ACM, Vol. 31, Issue 2, pp. 170-187 1988AI
Computing with ConnectionsJ.A. Feldman and D.H. BallardTR72, Computer Science Department, University of Rochester, New York. Also in Human and Machine Vision, A. Rosenfeld and J. Beck (eds.), 1982April 1981AI
Computational Constraints on Higher Neural RepresentationsJ.A. FeldmanProceedings of the System Development Foundation Symposium on Computational Neuroscience, E. Schwartz (ed.), Bradford Books/MIT PressApril 1988AI
Communities of Practice Environment (CoPE): Democratic CSCW for Group Production and e-LearningD. Thaw, J. Feldman, J. Li, and S. CaballéIn Intelligent Collaborative e-Learning Systems and Applications, T. Daradoumis, S. Caballé, J. M. Marquès, and X. Xhafa, eds., pp. 65-81, Springer-Verlag 2009AI
Comment on Brent's Scatter Storage AlgorithmJ.A. Feldman and J.R. LowCommunications of the ACM, Vol. 16, Issue 11, p. 703 1973AI
CoLPE: Support for Communities of Learning Practice by the Effective Embedding of Information and Knowledge About Group ActivityS. Caballé, J. Feldman, and D. ThawIn Intelligent Collaborative e-Learning Systems and Applications, T. Daradoumis, S. Caballé, J. M. Marquès, and X. Xhafa, eds., pp. 113-127, Springer-Verlag 2009AI
CoLPE: Communities of Learning Practice EnvironmentS. Caballe and J. FeldmanProceedings of the 11th Directions and Implications of Advanced Computing (DIAC-2008) and Third Conference on Online Deliberation (OD2008), Berkeley, California, pp. 35-46June 2008AI[PDF]

Cognitive Science Should Be Unified: Comment on Griffiths et al. and McClelland et al.J. FeldmanTrends in Cognitive Science, Vol. 14, Issue 8, pp. 339-388August 2010AI
Cognition as Search: review of Unified Theories of Cognition, (by Allen Newell, Harvard University Press, Cambridge, MA, 1990)J.A. FeldmanScience, Vol. 251, No. 2, p. 575February 1991AI
Capacity Limitations in the Integration of Information Across SaccadesJ.A. Feldman, M. Hayhoe, and J. LachterPaper presented at ARVO 1991 1991AI
Brains and Robots, Two Weak Attempts at the Grand SynthesisJ.A. FeldmanReview for Cognition and Brain Theory 1984AI
Book Review, Crangle and Suppes, “Language Learning"J. FeldmanComputational Linguistics 1996AI
Bad-Mouthing FramesJ.A. FeldmanProceedings of the First Conference on Theoretical Issues in Natural Language Processing, Cambridge, MassachusettsJune 1975AI
Automatic ProgrammingJ.A. FeldmanCS 255, Stanford University, Computer Science Department, Stanford, CaliforniaFebruary 1972AI
Associative LanguagesJ.A. FeldmanThe Encyclopedia of Computer Science and Technology, A. Ralston (ed.) 1973AI
Aspects of Associative ProcessingJ.A. FeldmanTN-1965-13, Lincoln Laboratory, MIT, Lexington, Massachusetts 1965AI
Artificial Intelligence and Advanced AutomationJ.A. Feldman and R.P. PaulAutomation Research Council Report 1974AI
Apparent Motion and Other MysteriesJ.A. FeldmanParallel Processing in Neural Systems and Computers, pp. 479-486, R. Eckmiller, G. Hartmann, and G. Hauske (eds.), Elsevier Science Publishers B.V. 1990AI
An Essay Concerning Robotic UnderstandingJ.A. FeldmanAI Magazine, Vol. 11, pp. 12-13 1990AI
An Associative Processing System for Conventional Digital ComputersJ.A. Feldman and P.D. RovnerTN-1967-19, Lincoln Laboratory, MIT, Lexington, Massachusetts 1967AI
An Approach to Knowledge-Directed Image AnalysisJ.A. Feldman, D. Ballard, and C. BrownProceedings of the Fifth International Joint Conference on Artificial Intelligence (IJCAI 1977), Cambridge, Massachusetts. Also TR21, Computer Science Department, University of Rochester, 1977. Also in Computer Vision Systems, A. R. Hanson and E. M. Riseman (eds.), Academic Press, New York, 1978August 1977AI

Pages