SEARLE'S CHINESE-ROOM ARGUMENT
References to Searle's and Rapaport's Articles
(intended primarily for students in my Intro to AI
course,
CS 472/572)
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Searle, John R. (1980),
``Minds, Brains, and Programs,''
Behavioral and Brain Sciences
3: 417-457. (Lockwood and SEL, QP360 .B425)
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Searle, John R. (1982),
``The Myth of the Computer,''
New York Review of Books
(29 April 1982): 3-6; cf. correspondence, same journal (24 June
1982): 56-57. (Lockwood and UGL microfiche and microfilm AP2 .N655)
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Searle, John R. (1984),
Minds, Brains and Science
(Cambridge, MA:
Harvard University Press).
(Lockwood and UGL, BF161 .S352 1984)
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Searle, John R. (1990), ``Is the Brain a Digital Computer?'',
Proceedings and Addresses of the
American Philosophical Association,
Vol. 64, No. 3: 21-37. (Lockwood Per B11 .A52)
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Searle, John R. (1993), ``The Failures of Computationalism,''
Think (Tilburg, The Netherlands:
Tilburg University Institute for
Language Technology and Artificial Intelligence) 2 (June 1993) 68-71.
(Note: Lest you get the wrong idea, I am merely a minor player in
the game of Searle-bashing. There are many, many
articles in response
to Searle. I am only listing mine here because of their local
interest.
Rapaport
1986a,
1988b, and
1995 give the essence of my
reply to Searle.
Rapaport 1986a is more informal and probably easier to read. Rapaport
1988b and 1995
are more technical, but give an overview of what's needed
for natural-language understanding.
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Rapaport, William J. (1985),
``Machine Understanding and Data Abstraction in Searle's Chinese Room,''
Proceedings of the 7th Annual Conference of the
Cognitive Science Society
(University of California at Irvine)
(Hillsdale, NJ:
Lawrence Erlbaum Associates):
341-345.
-
This contains a preliminary version of my data-abstraction
argument in Rapaport 1988a, below.
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Rapaport, William J. (1986a),
``Philosophy, Artificial Intelligence, and the Chinese-Room Argument,''
Abacus 3 (Summer 1986) 6-17;
correspondence, Abacus 4 (Winter 1987) 6-7, Abacus 4 (Spring 1987) 5-7.
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This was written for a general audience; it describes the
CRA and gives a reply in terms of abstract data types.
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Rapaport, William J. (1986), ``Searle's Experiments with Thought,''
Philosophy of Science 53: 271-279. (Lockwood Per Q1 .P55)
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This was a reply to
Cole, David (1984), ``Thought and Thought
Experiments'',
Philosophical Studies
45: 431-444 (Lockwood Per B21 .P53);
it discusses syntax
vs. semantics.
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Rapaport, William J. (1988a), ``To Think or Not To Think,''
Nous
22: 585-609. (Lockwood Per B1 .N62)
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This is a review of Searle 1984, above; it gives a
reply in terms of abstract data types, rather more formally than
Rapaport 1986a, above. It also contains, in footnotes, Searle's
comments on my review.
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Rapaport, William J. (1988b),
``Syntactic Semantics: Foundations
of Computational Natural-Language Understanding,''
in James H. Fetzer (ed.), Aspects of Artificial Intelligence
(Dordrecht, Holland:
Kluwer Academic Publishers): 81-131.
Reprinted in
Eric Dietrich
(ed.) (1994),
Thinking Computers and Virtual
Persons: Essays on the Intentionality of Machines (San Diego:
Academic Press): 225-273.
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This is my longest and most widely cited piece on the CRA,
replying in terms of SNePS/Cassie and in terms of the distinction
between syntax and semantics.
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Rapaport, William J. (1990),
``Computer Processes and Virtual Persons: Comments on Cole's
`Artificial Intelligence and Personal Identity',''
Technical Report 90-13
(Buffalo: SUNY Buffalo Department of Computer Science, May 1990).
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This is a reply to an earlier version of
Cole, David (1991), ``Artificial Intelligence
and Personal Identity,''
Synthese 88: 399-417. (Lockwood, Per AP1 .S9)
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Rapaport, William J. (1993), ``Because Mere Calculating Isn't
Thinking: Comments on
Hauser's `Why Isn't My Pocket Calculator a
Thinking Thing?',''
Minds and Machines 3: 11-20.
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Rapaport, William J. (1995),
``Understanding Understanding: Syntactic
Semantics and Computational Cognition'', in James E. Tomberlin (ed.),
Philosophical Perspectives, Vol. 9: AI, Connectionism, and
Philosophical Psychology (Atascadero, CA: Ridgeview): 49-88.
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Rapaport, William J. (forthcoming),
``How Minds Can Be Computational
Systems'',
Journal of Experimental and Theoretical Artificial
Intelligence; preprinted as Technical Report 96-10 (Buffalo: SUNY
Buffalo Department of Computer Science) and Technical Report 96-1
(Buffalo: SUNY Buffalo Center for Cognitive Science).
William J. Rapaport
(rapaport@cs.buffalo.edu)
file: cra.refs.02my97.html