Voozh

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References

Ackley, D. H., Hinton G. E. and Sejnowski, T. J. (1985) A learning algorithm for Boltzmann machines.Cognitive Science 9, pp. 147–169.
Google Scholar
Anderson, J. R. (1983)The Architecture of Cognition. Cambridge, MA: Harvard University Press.
Google Scholar
Bechtel, W. (1993) Decomposing intentionality: Perspectives on intentionality drawn from language research with two species of chimpanzees.Biology and Philosophy 8, pp. 1–32.
Google Scholar
Bechtel, W. and Abrahamsen, A. (1991)Connectionism and the Mind. An Introduction to Parallel Processing in Networks. Oxford: Basil Blackwell.
Google Scholar
Bechtel, W. and Abrahamsen, A. (1993) Connectionism and the future of folk psychology. In: R. Burton (ed.)Minds: Natural and Artificial, pp. 69–100. Albany: SUNY Press.
Google Scholar
Black, F. (1968). A deductive question-answering system. In: M. Minsky (ed.)Semantic Information Processing, pp. 354–402. Cambridge, MA: MIT Press.
Google Scholar
Bradley, D. M., Garrett, M. and Zurif, E. (1980) Syntactic deficits in Broca's aphasia. In: D. Caplan (ed.)Biological Studies of Mental Processes, pp. 269–287, Cambridge, MA: MIT Press.
Google Scholar
Chomsky, N. (1968)Language and Mind. New York: Harcourt, Brace, Jovanovich.
Google Scholar
Darden, L. (1991)Theory Change in Science: Strategies from Mendelian Genetics. Oxford: Oxford University Press.
Google Scholar
Dreyfus, H. L. (1979)What Computers Can't Do: The Limits of Artificial Intelligence, 2nd edition. New York: Harper & Row.
Google Scholar
Elman, J. L. (1990) Finding structure in time.Cognitive Science 14, pp. 179–212.
Google Scholar
Farrah, M. (1988) Is visual perception really visual? Overlooked evidence from neuropsychology.Psychological Review 95, pp. 307–317.
Google Scholar
Fodor, J. A. (1975)The Language of Thought. New York: Crowell.
Google Scholar
Fodor, J. A. (1987)Psychosemantics: The Problem of Meaning in the Philosophy of Mind. Cambridge, MA: MIT Press.
Google Scholar
Fodor, J. A. and McLaughlin, B. P. (1990) Connectionism and the problem of systematicity: Why Smolensky's solution doesn't work.Cognition 35, pp. 183–204.
Google Scholar
Fodor, J. A. and Pylyshyn, Z. W. (1988) Connectionism and cognitive architecture: A critical analysis.Cognition 28, pp. 3–71.
Google Scholar
Friederici, A. (1992) Neuropsychological aspects of language development and language use. Paper presented at conference on Biological and Cultural Aspects of Language Development, Zentrum für interdisziplinäre Forschung, Universität Bielefeld.
Harnad, S. (1990) The symbol grounding problem.Physical D 42, pp. 335–346.
Google Scholar
Jordan, M. (1986) Attractor dynamics and parallelism in a connectionist sequential machine.Proceedings of the Eighth Annual Conference of the Cognitive Science Society. Hillsdale, NJ: Lawrence Erlbaum.
Google Scholar
Kintsch, W. (1974)The Representation of Meaning in Memory. Hillsdale, NJ: Lawrence Erlbaum.
Google Scholar
Lieberman, P. (1992) Uniquely human: The evolution of speech, thought, and selfless behavior. Paper presented at conference on Biological and Cultural Aspects of Language Development, Zentrum für interdisziplinäre Forschung, Universität Bielefeld.
McClelland, J. L. and Kawamoto, A. (1986) Mechanisms of sentence processing: Assigning roles to constituents. In: J. L. McClelland, D. E. Rumelhart and the PDP Research Group,Parallel Distributed Processing: Explorations in the Microstructure of Cognition, Vol. 2: Psychological and Biological Models. Cambridge, MA: MIT Press.
Google Scholar
Miikkulainen, R. and Dyer, M. G. (1989) A modular neural network architecture for sequential paraphrasing of script-based stories. Technical Report UCLA-AI-89-02, Artificial Intelligence Laboratory, Computer Science Department, University of California, Los Angeles, Los Angeles, CA 90024.
Google Scholar
Minsky, M. A. (1975) A framework for knowledge representation. In: P. H. Winston (ed.)The Psychology of Computer Vision, pp. 211–277. New York: McGraw Hill.
Google Scholar
Minsky, M. A. and Papert, S. (1969)Perceptrons. Cambridge, MA: MIT Press.
Google Scholar
Newell, A. (1989)Unified Theories of Cognition. Cambridge, MA: Harvard University Press.
Google Scholar
Nolfi, S., Elman, J. L. and Parisi, D. (1990) Learning and evolution in neutral networks. Technical report 9019, Center for Research in Language, University of California, San Diego.
Google Scholar
Papert, S. (1988) One AI or many?Daedalus 117, pp. 1–14.
Google Scholar
Pinker, S. and Prince, A. (1988) On language and connectionism: Analysis of a parallel distributed processing model of language acquisition.Cognition 28, pp. 73–193.
Google Scholar
Plunkett, K. and Marchman, V. (1991) U-shaped learning and frequency effects in a multi-layered perception: Implications for child language acquisition.Cognition 38, pp. 1–60.
Google Scholar
Rosenblat, R. (1959)The Principle of Neurodynamics. New York: Spartan.
Google Scholar
Rumelhart, D. E. (1975) Notes on a schema for stories. In: D. G. Bobrow and A. M. Collins (eds.)Representations and Understanding. New York: Academic.
Google Scholar
Rumelhart, D. E. and McClelland, J. L. (1986) On learning the past tense of English verbs. In: J. L. McClelland, D. E. Rumelhart and the PDP Research Group,Parallel Distributed Processing: Explorations in the Microstructure of Cognition, Vol. 2: Psychological and Biological Models, pp. 216–271. Cambridge, MA: MIT Press.
Google Scholar
Rumelhart, D. E., Hinton, G. E. and Williams, R. J. (1986) Learning internal representations by error propagation. In: D. E. Rumelhart, J. L. McClelland and the PDP Research Group,Parallel Distributed Processing: Explorations in the Microstructure of Cognition, Vol. 1: Foundations, pp. 318–362. Cambridge, MA: MIT Press.
Google Scholar
Rumelhart, D. E., Smolensky, P., McClelland, J. L. and Hinton, G. E. (1986) Schemas and sequential thought processes in PDP model. In: J. L. McClelland, D. E. Rumelhart and the PDP Research Group,Parallel Distributed Processing: Explorations in the Microstructure of Cognition, Vol. 2: Psychological and Biological Models. Cambridge, MA: MIT Press.
Google Scholar
Ryle, G. (1949)The Concept of Mind. New York: Barnes and Noble.
Google Scholar
Schank, R. C. and Abelson, R. (1977)Scripts, Plans, Goals, and Understanding. Hillsdale, NJ: Lawrence Erlbaum.
Google Scholar
Searle, J. R. (1980) Minds, brains, and programs.The Behavioral and Brain Sciences 78, pp. 720–733.
Google Scholar
Smolensky, P. (1988) On the proper treatment of connectionism.Behavioral and Brain Sciences 11, pp. 1–74.
Google Scholar
St. John, M. F. and McClelland, J. L. (1990) Learning and applying contextual constraints in sentence comprehension.Artificial Intelligence 46, pp. 217–257.
Google Scholar
Touretzky, D. S. (1990) BoltzCONS: Dynamic symbol structures in a connectionist network.Artificial Intelligence 46, pp. 5–46.
Google Scholar
Touretzky, D. S. and Hinton, G. E. (1988) A distributed connectionist production system.Cognitive Science 12, pp. 423–466.
Google Scholar
Vygotsky, L. S. (1962)Language and Thought. Cambridge, MA: MIT Press.
Google Scholar