Switch to: Citations

Add references

You must login to add references.
  1. Computation and Cognition: Toward a Foundation for Cognitive Science.Zenon W. Pylyshyn - 1984 - Cambridge: MIT Press.
    This systematic investigation of computation and mental phenomena by a noted psychologist and computer scientist argues that cognition is a form of computation, that the semantic contents of mental states are encoded in the same general way as computer representations are encoded. It is a rich and sustained investigation of the assumptions underlying the directions cognitive science research is taking. 1 The Explanatory Vocabulary of Cognition 2 The Explanatory Role of Representations 3 The Relevance of Computation 4 The Psychological Reality (...)
    Download  
     
    Export citation  
     
    Bookmark   1014 citations  
  • 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 (...)
    Download  
     
    Export citation  
     
    Bookmark   1142 citations  
  • 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 (...)
    Download  
     
    Export citation  
     
    Bookmark   752 citations  
  • Microcognition: Philosophy, Cognitive Science, and Parallel Distributed Processing.Andy Clark - 1989 - Cambridge: MIT Press.
    Parallel distributed processing is transforming the field of cognitive science. Microcognition provides a clear, readable guide to this emerging paradigm from a cognitive philosopher's point of view. It explains and explores the biological basis of PDP, its psychological importance, and its philosophical relevance.
    Download  
     
    Export citation  
     
    Bookmark   161 citations  
  • On language and connectionism: Analysis of a parallel distributed processing model of language acquisition.Steven Pinker & Alan Prince - 1988 - Cognition 28 (1-2):73-193.
    Download  
     
    Export citation  
     
    Bookmark   379 citations  
  • Compositionality: A connectionist variation on a classical theme.Tim van Gelder - 1990 - Cognitive Science 14 (3):355-384.
    Download  
     
    Export citation  
     
    Bookmark   167 citations  
  • Microcognition: Philosophy, Cognitive Science, and Parallel Distributed Processing.Andy Clark - 1991 - Mind 100 (2):290-293.
    Download  
     
    Export citation  
     
    Bookmark   122 citations  
  • Compositionality: A Connectionist Variation on a Classical Theme.Tim Gelder - 1990 - Cognitive Science 14 (3):355-384.
    Download  
     
    Export citation  
     
    Bookmark   98 citations  
  • Learning and applying contextual constraints in sentence comprehension.Mark F. St John & James L. McClelland - 1990 - Artificial Intelligence 46 (1-2):217-257.
    Download  
     
    Export citation  
     
    Bookmark   98 citations  
  • A Distributed Connectionist Production System.David S. Touretzky & Geoffrey E. Hinton - 1988 - Cognitive Science 12 (3):423-466.
    DCPS is a connectionist production system interpreter that uses distributed representations. As a connectionist model it consists of many simple, richly interconnected neuron‐like computing units that cooperate to solve problems in parallel. One motivation for constructing DCPS was to demonstrate that connectionist models are capable of representing and using explicit rules. A second motivation was to show how “coarse coding” or “distributed representations” can be used to construct a working memory that requires far fewer units than the number of different (...)
    Download  
     
    Export citation  
     
    Bookmark   89 citations  
  • (1 other version)When is information explicitly represented?David Kirsh - 1990 - In Philip P. Hanson (ed.), Information, Language and Cognition. University of British Columbia Press.
    Download  
     
    Export citation  
     
    Bookmark   50 citations  
  • (1 other version)When is Information Explicitly Represented?David Kirsh - 1992 - The Vancouver Studies in Cognitive Science:340-365.
    Computation is a process of making explicit, information that was implicit. In computing 5 as the solution to ∛125, for example, we move from a description that is not explicitly about 5 to one that is. We are drawing out numerical consequences to the description ∛125. We are extracting information implicit in the problem statement. Can we precisely state the difference between information thati s implicit in a state, structure or process and information that is explicit?
    Download  
     
    Export citation  
     
    Bookmark   46 citations  
  • A Default‐Oriented Theory of Procedural Semantics.Robert F. Hadley - 1989 - Cognitive Science 13 (1):107-137.
    Download  
     
    Export citation  
     
    Bookmark   12 citations