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  1. Intelligence without representation.Rodney A. Brooks - 1991 - Artificial Intelligence 47 (1--3):139-159.
    Artificial intelligence research has foundered on the issue of representation. When intelligence is approached in an incremental manner, with strict reliance on interfacing to the real world through perception and action, reliance on representation disappears. In this paper we outline our approach to incrementally building complete intelligent Creatures. The fundamental decomposition of the intelligent system is not into independent information processing units which must interface with each other via representations. Instead, the intelligent system is decomposed into independent and parallel activity (...)
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  • Minds, brains, and programs.John Searle - 1980 - Behavioral and Brain Sciences 3 (3):417-57.
    What psychological and philosophical significance should we attach to recent efforts at computer simulations of human cognitive capacities? In answering this question, I find it useful to distinguish what I will call "strong" AI from "weak" or "cautious" AI. According to weak AI, the principal value of the computer in the study of the mind is that it gives us a very powerful tool. For example, it enables us to formulate and test hypotheses in a more rigorous and precise fashion. (...)
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  • Handbook of Semiotics.Winfried Noth - 1995 - Bloomington, IN: Indiana University Press.
    "This is the most systematic discussion of semiotics yet published." --Choice -/- "A bravura performance." --Thomas Sebeok -/- "Nöth's handbook is an outstanding encyclopedia that provides first-rate information on many facets of sign-related studies, research results, and applications." --Social Sciences in General.
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  • Vision: Variations on Some Berkeleian Themes.Robert Schwartz & David Marr - 1985 - Philosophical Review 94 (3):411.
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  • Physical symbol systems.Allen Newell - 1980 - Cognitive Science 4 (2):135-83.
    On the occasion of a first conference on Cognitive Science, it seems appropriate to review the basis of common understanding between the various disciplines. In my estimate, the most fundamental contribution so far of artificial intelligence and computer science to the joint enterprise of cognitive science has been the notion of a physical symbol system, i.e., the concept of a broad class of systems capable of having and manipulating symbols, yet realizable in the physical universe. The notion of symbol so (...)
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  • Why paramecia don't have mental representations.Jerry A. Fodor - 1986 - Midwest Studies in Philosophy 10 (1):3-23.
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  • Handbook of Semiotics.Winfried Noth - 1990 - Indiana University Press.
    History and Classics of Modern Semiotics -- Sign and Meaning -- Semiotics, Code, and the Semiotic Field -- Language and Language-Based Codes -- From Structuralism to Text Semiotics: Schools and Major Figures -- Text Semiotics: The Field -- Nonverbal Communication -- Aesthetics and Visual Communication.
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  • Understanding Computers and Cognition: A New Foundation for Design.Terry Winograd & Fernando Flores - 1987 - Addison-Wesley.
    Understanding Computers and Cognition presents an important and controversial new approach to understanding what computers do and how their functioning is related to human language, thought, and action. While it is a book about computers, Understanding Computers and Cognition goes beyond the specific issues of what computers can or can't do. It is a broad-ranging discussion exploring the background of understanding in which the discourse about computers and technology takes place. Understanding Computers and Cognition is written for a wide audience, (...)
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  • Vision.David Marr - 1982 - W. H. Freeman.
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  • Minds, Brains, and Programs.John Searle - 1980 - In John Heil (ed.), Philosophy of Mind: A Guide and Anthology. Oxford University Press.
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  • Fundamental aspects of cognitive representation.Stephen Palmer - 1978 - In Eleanor Rosch & Barbara Lloyd (eds.), Cognition and Categorization. Lawrence Elbaum Associates. pp. 259-303.
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  • Computer science as empirical inquiry: Symbols and search.Allen Newell & Herbert A. Simon - 1981 - Communications of the Association for Computing Machinery 19:113-26.
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  • Semiotic and Significs: The Correspondence between Charles S. Peirce and Victoria Lady Welby.Charles S. Hardwick & James Cook - 1979 - Transactions of the Charles S. Peirce Society 15 (1):92-97.
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  • Semantic engines: An introduction to mind design.John Haugeland - 1981 - In J. Haugel (ed.), Mind Design. MIT Press.
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