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Semantic Information Processing

MIT Press (1968)

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  1. Is behaviorism vacuous?Stephen P. Stich - 1984 - Behavioral and Brain Sciences 7 (4):647.
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  • Skinner's behaviorism implies a subcutaneous homunculus.J. E. R. Staddon - 1984 - Behavioral and Brain Sciences 7 (4):647.
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  • (1 other version)Logical foundations for belief representation.William J. Rapaport - 1986 - Cognitive Science 10 (4):371-422.
    This essay presents a philosophical and computational theory of the representation of de re, de dicto, nested, and quasi-indexical belief reports expressed in natural language. The propositional Semantic Network Processing System (SNePS) is used for representing and reasoning about these reports. In particular, quasi-indicators (indexical expressions occurring in intentional contexts and representing uses of indicators by another speaker) pose problems for natural-language representation and reasoning systems, because--unlike pure indicators--they cannot be replaced by coreferential NPs without changing the meaning of the (...)
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  • Rule following and rule reduction.William E. Smythe - 1982 - Behavioral and Brain Sciences 5 (2):343-344.
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  • What kind of indirect process is visual perception?Aaron Sloman - 1980 - Behavioral and Brain Sciences 3 (3):401-404.
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  • Minds, machines and self-reference.Peter Slezak - 1984 - Dialectica 38 (1):17-34.
    SummaryJ.R. Lucas has argued that it follows from Godel's Theorem that the mind cannot be a machine or represented by any formal system. Although this notorious argument against the mechanism thesis has received considerable attention in the literature, it has not been decisively rebutted, even though mechanism is generally thought to be the only plausible view of the mind. In this paper I offer an analysis of Lucas's argument which shows that it derives its persuasiveness from a subtle confusion. In (...)
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  • (1 other version)Meetings.Peter Slezak - 1984 - Dialectica 38 (1):80-80.
    SummaryJ.R. Lucas has argued that it follows from Godel's Theorem that the mind cannot be a machine or represented by any formal system. Although this notorious argument against the mechanism thesis has received considerable attention in the literature, it has not been decisively rebutted, even though mechanism is generally thought to be the only plausible view of the mind. In this paper I offer an analysis of Lucas's argument which shows that it derives its persuasiveness from a subtle confusion. In (...)
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  • Representations and misrepresentations.B. F. Skinner - 1984 - Behavioral and Brain Sciences 7 (4):655.
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  • Behaviorism at fifty.B. F. Skinner - 1974 - New York,: J. Norton Publishers.
    Each of us is uniquely subject to certain kinds of stimulation from a small part of the universe within our skins. Mentalistic psychologies insist that other kinds of events, lacking the physical dimensions of stimuli, are accessible to the owner of the skin within which they occur. One solution often regarded as behavioristic, granting the distinction between public and private events and ruling the latter out of consideration, has not been successful. A science of behavior must face the problem of (...)
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  • (1 other version)Behaviorism at fifty.B. F. Skinner - 1984 - Behavioral and Brain Sciences 7 (4):615.
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  • Explaining behavior Skinner's way.Michael A. Simon - 1984 - Behavioral and Brain Sciences 7 (4):646.
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  • Human, machines, and the interpretation of formal systems.Porfírio Silva - 2016 - AI and Society 31 (2):157-169.
    There are plenty of intelligent machines in our world today: digital computers and autonomous robots. At the heart of each of these machines there are automatic formal systems (programs running on a digital computer). Now, if the interpretation of a formal system does not belong to the formal system itself, if the interpretation has to be added, it is worth asking: in the case of these intelligent machines that are massively interspersed in our social interactions, where does the interpretation come (...)
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  • Computers, postmodernism and the culture of the artificial.Colin Beardon - 1994 - AI and Society 8 (1):1-16.
    The term ‘the artificial’ can only be given a precise meaning in the context of the evolution of computational technology and this in turn can only be fully understood within a cultural setting that includes an epistemological perspective. The argument is illustrated in two case studies from the history of computational machinery: the first calculating machines and the first programmable computers. In the early years of electronic computers, the dominant form of computing was data processing which was a reflection of (...)
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  • Abstract machine theory and direct perception.Robert Shaw & James Todd - 1980 - Behavioral and Brain Sciences 3 (3):400-401.
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  • The Chinese room revisited.J. R. Searle - 1982 - Behavioral and Brain Sciences 5 (2):345-348.
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  • Cognitive science at seven: A wolf at the door for behaviorism?Miriam W. Schustack & Jaime G. Carbonell - 1984 - Behavioral and Brain Sciences 7 (4):645.
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  • “Behaviorism at fifty” at twenty.Roger Schnaitter - 1984 - Behavioral and Brain Sciences 7 (4):644.
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  • Intentionality and communication theory.K. M. Sayre - 1986 - Behavioral and Brain Sciences 9 (1):155-165.
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  • Intentionality and information processing: An alternative model for cognitive science.Kenneth M. Sayre - 1986 - Behavioral and Brain Sciences 9 (1):121-38.
    This article responds to two unresolved and crucial problems of cognitive science: (1) What is actually accomplished by functions of the nervous system that we ordinarily describe in the intentional idiom? and (2) What makes the information processing involved in these functions semantic? It is argued that, contrary to the assumptions of many cognitive theorists, the computational approach does not provide coherent answers to these problems, and that a more promising start would be to fall back on mathematical communication theory (...)
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  • Searle's demon and the brain simulator.Steven F. Savitt - 1982 - Behavioral and Brain Sciences 5 (2):342-343.
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  • From AI to cybernetics.Keizo Sato - 1991 - AI and Society 5 (2):155-161.
    Well-known critics of AI such as Hubert Dreyfus and Michael Polanyi tend to confuse cybernetics with AI. Such a confusion is quite misleading and should not be overlooked. In the first place, cybernetics is not vulnerable to criticism of AI as cognitivistic and behaviouristic. In the second place, AI researchers are recommended to consider the cybernetics approach as a way of overcoming the limitations of cognitivism and behaviourism.
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  • Understanding and integration.Jerry Samet - 1982 - Behavioral and Brain Sciences 5 (2):341-342.
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  • There is more to psychological meaningfulness than computation and representation.Sverker Runeson - 1980 - Behavioral and Brain Sciences 3 (3):399-400.
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  • The conceptual range of “cognitivism”.Joseph R. Royce - 1979 - Behavioral and Brain Sciences 2 (4):634-634.
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  • The behaviorist concept of mind.David M. Rosenthal - 1984 - Behavioral and Brain Sciences 7 (4):643.
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  • Difficulties with a direct theory of perception.Irvin Rock - 1980 - Behavioral and Brain Sciences 3 (3):398-399.
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  • Behaviorism at Seventy.Daniel N. Robinson - 1984 - Behavioral and Brain Sciences 7 (4):641-643.
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  • Ontology and ideology of behaviorism and mentalism.Georges Rey - 1984 - Behavioral and Brain Sciences 7 (4):640.
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  • Information pickup is the activity of perceiving.Edward S. Reed - 1980 - Behavioral and Brain Sciences 3 (3):397-398.
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  • Minds, pains, and performance.Howard Rachlin - 1982 - Behavioral and Brain Sciences 5 (2):341-341.
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  • Animal-environment mutuality and direct perception.Sandra S. Prindle, Claudia Carello & M. T. Turvey - 1980 - Behavioral and Brain Sciences 3 (3):395-397.
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  • How wrong is Gibson?K. Prazdny - 1980 - Behavioral and Brain Sciences 3 (3):394-395.
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  • Intentionality: No mystery.William T. Powers - 1986 - Behavioral and Brain Sciences 9 (1):152-153.
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  • Artificial intelligence and consciousness.Drew McDermott - 2007 - In Morris Moscovitch, Philip Zelazo & Evan Thompson (eds.), Cambridge Handbook of Consciousness. New York: Cambridge University Press. pp. 117--150.
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  • Intentionality as internality.Don Perlis & Rosalie Hall - 1986 - Behavioral and Brain Sciences 9 (1):151-152.
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  • Belief-level way stations.Donald Perlis - 1984 - Behavioral and Brain Sciences 7 (4):639.
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  • Towards a Cognitive Theory of Emotions.Keith Oatley & P. N. Johnson-Laird - 1987 - Cognition and Emotion 1 (1):29-50.
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  • Naturalizing intentions.R. J. Nelson - 1984 - Synthese 61 (2):173 - 203.
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  • A framework for knowledge-based systems.Alexei Yu Muravitsky - 1996 - Journal of Applied Non-Classical Logics 6 (3):263-286.
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  • Introspection as the key to mental life.Chris Mortensen - 1984 - Behavioral and Brain Sciences 7 (4):639.
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  • A total process approach to perception.Maxine Morphis - 1986 - Behavioral and Brain Sciences 9 (1):150-151.
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  • A cognitivist reply to behaviorism.Robert C. Moore - 1984 - Behavioral and Brain Sciences 7 (4):637.
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  • Minds, brains, programs, and persons.Drew McDermott - 1982 - Behavioral and Brain Sciences 5 (2):339-341.
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  • Philosophy and the future of behaviorism.M. Jackson Marr - 1984 - Behavioral and Brain Sciences 7 (4):636.
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  • Mechanism at two thousand.John C. Marshall - 1984 - Behavioral and Brain Sciences 7 (4):637.
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  • Cognitive science and the pragmatics of behavior.Lawrence E. Marks - 1986 - Behavioral and Brain Sciences 9 (1):150-150.
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  • Perceptual activity and direct perception.William M. Mace - 1980 - Behavioral and Brain Sciences 3 (3):392-393.
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  • Intrinsic versus contrived intentionality.Donald M. MacKay - 1986 - Behavioral and Brain Sciences 9 (1):149-150.
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  • Are mediating representations the ghosts in the machine?Alan K. Mackworth - 1980 - Behavioral and Brain Sciences 3 (3):393-394.
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  • Behaviorism and “the problem of privacy”.William Lyons - 1984 - Behavioral and Brain Sciences 7 (4):635.
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