Publication Search Results

TitleAuthorBibliographicsort descendingDateGroupLinks
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
Programming LanguagesJ.A. FeldmanScientific American, Vol. 241, No. 6December 1979AI
Structured Connectionist Models and Language LearningJ.A. FeldmanSelected Readings of the Swedish Conference on Connectionism, Ellis Horwood Ltd. Publishers. Also published in AI Review: Special Issue on the Swedish Conference on Connectionism, 1992 1992AI
A Model and Proof Technique for Message-Based SystemsJ.A. Feldman and A. NigamSIAM Journal of Computing, Vol. 9, Issue 4, pp. 768-784 1980AI
Modulation of the FFA and PPA by Language Related to Faces and PlacesL. Aziz-Zadeh, C. Fiebach, S. Narayanan, J. Feldman, E. Dodge, and R. B. IvrySocial Neuroscience, Vol. 3, Issues 3-4, pp. 229-238September 2008AI
CPRM: An Expressive Probabilistic Framework for Reasoning About Event StructureS. Narayanan and J. FeldmanSubmitted for publication, 2004 2004AI
The Compiler-compiler in a Time-Sharing EnvironmentJ.A. Feldman and J. CurrySummer Lectures on Advanced Computer Organization, University of Michigan; also Bit Dropper, September 1967June 1967AI
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
An Associative Processing System for Conventional Digital ComputersJ.A. Feldman and P.D. RovnerTN-1967-19, Lincoln Laboratory, MIT, Lexington, Massachusetts 1967AI
Context and Causality in Cognitive ScienceJ. FeldmanTo appear in the Journal of the Royal Society Interface 0000AI
Language Constructs and Support Systems for Distributed ComputingJ.A. Feldman and C.S. EllisTR102, Computer Science Department, University of Rochester, New York. Also in Proceedings of Distributed Computing Symposium, Ottawa, Ontario, Canada, August 1982May 1982AI
Rochester Connectionist Papers 1979-84J.A. Feldman, D.H. Ballard, C.M. Brown, and S.L. SmallTR124, Computer Science Department, University of Rochester, New York, RevisedJune 1984AI
Semantic Networks and Neural NetsJ.A. Feldman and L. ShastriTR131, Computer Science Department, University of Rochester, New YorkJune 1984AI
Energy and the Behavior of Connectionist ModelsJ.A. FeldmanTR155, Computer Science Department, University of Rochester, New YorkNovember 1985AI
Rochester Connectionist Papers: 1979-1985J.A. Feldman, D.H. Ballard, C.M. Brown, and G.S. DellTR172, Computer Science Department, University of Rochester, New YorkDecember 1985AI
Research in Computer Science and Computer EngineeringJ.A. Feldman, et.alTR3, University of Rochester, Departments of Computer Science and Electrical EngineeringNovember 1975AI
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
A Programming Methodology for Distributed Computing (among other things)J.A. FeldmanTR9, Computer Science Department, University of Rochester, New YorkJanuary 1977AI
Memory and Change in Connection NetworksJ.A. FeldmanTR96, Computer Science Department, University of Rochester, New YorkDecember 1981AI
Four Frames Suffice: A Provisionary Model of Vision and SpaceJ.A. FeldmanTR99, Computer Science Department, University of Rochester, New York 1982AI
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
Synchronizing Distant Cooperating ProcessesJ. A. FeldmanUniversity of Rochester Computer Science Department Technical Report TR26, Rochester, New York 1977AI
Some Remarks on Data TypesJ. A. Feldman and G. WilliamsUniversity of Rochester Computer Science Department Technical Report TR28, Rochester, New YorkApril 1978AI
A Functional Model of Vision and SpaceJ.A. FeldmanVision, Brain and Cooperative Computation, M. Arbib and A. Hanson (eds.), pp. 531-562, Bradford Book/MIT Press 1987AI
Scaling Cognitive Linguistics: Formalisms for Language UnderstandingN. Chang, J. Feldman, R. Porzel, and K. SandersWorkshop on Scalable Natural Language Understanding. European Media Laboratory. Heidelberg 2002AI

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