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  1. Learning and connectionist representations.David E. Rumelhart & Peter M. Todd - 1993 - In David E. Meyer & Sylvan Kornblum (eds.), Attention and Performance XIV: Synergies in Experimental Psychology, Artificial Intelligence, and Cognitive Neuroscience. MIT Press. pp. 3--30.
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  • Finding Structure in Time.Jeffrey L. Elman - 1990 - Cognitive Science 14 (2):179-211.
    Time underlies many interesting human behaviors. Thus, the question of how to represent time in connectionist models is very important. One approach is to represent time implicitly by its effects on processing rather than explicitly (as in a spatial representation). The current report develops a proposal along these lines first described by Jordan (1986) which involves the use of recurrent links in order to provide networks with a dynamic memory. In this approach, hidden unit patterns are fed back to themselves: (...)
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  • Structure‐Mapping: A Theoretical Framework for Analogy.Dedre Gentner - 1983 - Cognitive Science 7 (2):155-170.
    A theory of analogy must describe how the meaning of an analogy is derived from the meanings of its parts. In the structure‐mapping theory, the interpretation rules are characterized as implicit rules for mapping knowledge about a base domain into a target domain. Two important features of the theory are (a) the rules depend only on syntactic properties of the knowledge representation, and not on the specific content of the domains; and (b) the theoretical framework allows analogies to be distinguished (...)
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  • Theory-based Bayesian models of inductive learning and reasoning.Joshua B. Tenenbaum, Thomas L. Griffiths & Charles Kemp - 2006 - Trends in Cognitive Sciences 10 (7):309-318.
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  • A learning algorithm for boltzmann machines.David H. Ackley, Geoffrey E. Hinton & Terrence J. Sejnowski - 1985 - Cognitive Science 9 (1):147-169.
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  • The Algebraic Mind: Integrating Connectionism and Cognitive Science.Gary F. Marcus - 2001 - MIT Press.
    1 Cognitive Architectures 2 Multilayer Perceptrons 3 Relations between Variables 4 Structured Representations 5 Individuals 6 Where does the Machinery of Symbol Manipulation Come From? 7 Conclusions.
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  • Vision.David Marr - 1982 - W. H. Freeman.
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  • Syntactic Structures.Noam Chomsky - 1957 - Mouton.
    Noam Chomsky's book on syntactic structures is a serious attempts on the part of a linguist to construct within the tradition of scientific theory-construction ...
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  • On the proper treatment of connectionism.Paul Smolensky - 1988 - Behavioral and Brain Sciences 11 (1):1-23.
    A set of hypotheses is formulated for a connectionist approach to cognitive modeling. These hypotheses are shown to be incompatible with the hypotheses underlying traditional cognitive models. The connectionist models considered are massively parallel numerical computational systems that are a kind of continuous dynamical system. The numerical variables in the system correspond semantically to fine-grained features below the level of the concepts consciously used to describe the task domain. The level of analysis is intermediate between those of symbolic cognitive models (...)
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  • Connectionism and cognitive architecture: A critical analysis.Jerry A. Fodor & Zenon W. Pylyshyn - 1988 - Cognition 28 (1-2):3-71.
    This paper explores the difference between Connectionist proposals for cognitive a r c h i t e c t u r e a n d t h e s o r t s o f m o d e l s t hat have traditionally been assum e d i n c o g n i t i v e s c i e n c e . W e c l a i m t h a t t h (...)
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  • Concepts: Where Cognitive Science Went Wrong.Jerry A. Fodor - 1998 - Oxford, GB: Oxford University Press.
    The renowned philosopher Jerry Fodor, a leading figure in the study of the mind for more than twenty years, presents a strikingly original theory on the basic constituents of thought. He suggests that the heart of cognitive science is its theory of concepts, and that cognitive scientists have gone badly wrong in many areas because their assumptions about concepts have been mistaken. Fodor argues compellingly for an atomistic theory of concepts, deals out witty and pugnacious demolitions of rival theories, and (...)
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  • On the control of automatic processes: A parallel distributed processing account of the Stroop effect.Jonathan D. Cohen, Kevin Dunbar & James L. McClelland - 1990 - Psychological Review 97 (3):332-361.
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  • Mapping across domains without feedback: A neural network model of transfer of implicit knowledge.Z. Dienes, G. Altman & S. J. Gao - 1999 - Cognitive Science 23 (1).
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  • Structure and Deterioration of Semantic Memory: A Neuropsychological and Computational Investigation.Timothy T. Rogers, Matthew A. Lambon Ralph, Peter Garrard, Sasha Bozeat, James L. McClelland, John R. Hodges & Karalyn Patterson - 2004 - Psychological Review 111 (1):205-235.
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  • Collected Fictions.Jorge Luis Borges - 1999 - Penguin Books.
    For the first time in English, all the fiction by the writer who has been called “the greatest Spanish-language writer of our century” collected in a single volume A Penguin Classics Deluxe Edition From Jorge Luis Borges’s 1935 debut with The Universal History of Iniquity, through his immensely influential collections Ficciones and The Aleph, these enigmatic, elaborate, imaginative inventions display his talent for turning fiction on its head by playing with form and genre and toying with language. Together these incomparable (...)
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  • GE Hinton, and T. J. Sejnowski," A learning machine for Boltzman Machines,".D. H. Ackley - 1985 - Cognitive Science 9 (1):147-169.
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  • A connectionist model of a continuous developmental transition in the balance scale task.Anna C. Schapiro & James L. McClelland - 2009 - Cognition 110 (3):395-411.
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  • The adaptive nature of human categorization.John R. Anderson - 1991 - Psychological Review 98 (3):409-429.
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  • Mapping across Domains Without Feedback: A Neural Network Model of Transfer of Implicit Knowledge.Zoltán Dienes, Gerry T. M. Altmann & Shi-Ji Gao - 1999 - Cognitive Science 23 (1):53-82.
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  • On the nature and scope of featural representations of word meaning.Ken McRae, Virginia R. de Sa & Mark S. Seidenberg - 1997 - Journal of Experimental Psychology 126 (2):99-130.
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  • Learning and applying contextual constraints in sentence comprehension.Mark F. St John & James L. McClelland - 1990 - Artificial Intelligence 46 (1-2):217-257.
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  • The Copycat Project.Douglas Hofstadter & Melanie Mitchell - 1995 - In Douglas Hofstadter & Melanie Mitchell (eds.), Fluid Concepts and Creative Analogies.
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  • Learning and morphological change.Mary Hare & Jeffrey L. Elman - 1995 - Cognition 56 (1):61-98.
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  • Constraints on knowledge and cognitive development.Frank C. Keil - 1981 - Psychological Review 88 (3):197-227.
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  • An Attractor Model of Lexical Conceptual Processing: Simulating Semantic Priming.George S. Cree, Ken McRae & Chris McNorgan - 1999 - Cognitive Science 23 (3):371-414.
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