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abstract: |-
Depite considerations in favor of symbol grounding, neither pure
connectionism nor pure nonsymbolic robotics can be counted out yet, in
the path to robotic Turing Test. So far only computationalism and pure
AI have fallen by the wayside. If it turns out that no internal symbols
at all underlie our symbolic (email Turing Test) capacity, if dynamic
states of neural nets alone or sensorimotor mechanisms subserving
robotic capacities alone can successfully generate our full robotic
performance capacity without symbols, that is still the decisive test
for the presence of mind and everyone should be ready to accept the
verdict. For even if we should happen to be wrong about such a robot,
it is clear that no one (not even an advocate of the stronger
neural-equivalence version of the Turing Test, nor even the Blind
Watchmaker who designed us but isno more a mind-reader than we are) can
ever hope to be the wiser.
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- http://www.cogsci.soton.ac.uk/~harnad/Papers/Harnad/harnad95.robot.html
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date: 1995
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- family: Brooks
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keywords: "artificial intelligence, symbolic capacity, symbol grounding, computationalism, Searle's Chinese room argument, Turing test, total Turing test, robotics "
lastmod: 2011-03-11 08:54:41
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publication: The artificial life route to artificial intelligence. Building Situated Embodied Agents
publisher: 'New Haven: Lawrence Erlbaum'
refereed: FALSE
referencetext: |
Andrews, J., Livingston, K., Harnad, S. & Fischer, U. (in prep.) Learned Categorical Perception in
Human Subjects: Implications for Symbol Grounding.
Biederman, I. & Shiffrar, M. M. (1987) Sexing day-old chicks: A case study and expert systems
analysis of a difficult perceptual-learning task. Journal of Experimental Psychology: Learning,
Memory, & Cognition 13: 640 - 645.
Bornstein, M. H. (1987) Perceptual Categories in Vision and Audition. In S. Harnad (Ed.) Categorical
perception: The groundwork of Cognition. New York: Cambridge Univerity Press
Catania, A.C. & Harnad, S. (eds.) (1988) The Selection of Behavior. The Operant Behaviorism of BF
Skinner: Comments and Consequences. New York: Cambridge University Press.
Chamberlain, S.C. & Barlow, R.B. (1982) Retinotopic organization of lateral eye input to Limulus
brain. Journal of Neurophysiology 48: 505-520.
Dietrich, E. (1990) Computationalism. Social Epistemology 4: 135 - 154.
Dietrich, E. (1993) The Ubiquity of Computation. Think 2: 27-30.
Brooks, R.A. (1993) The Engineering of Physical Grounding. Proceedings of the Fifteenth Annual
Meeting of the Cognitive Science Society. NJ: Erlbaum
Christiansen, M. & Chater, N. (1992) Connectionism, Learning and Meaning. Connectionism 4: 227 -
252.
Christiansen, M.H. & Chater, N. (1993) Symbol Grounding - the Emperor's New Theory of
Meaning? Proceedings of the Fifteenth Annual Meeting of the Cognitive Science Society. NJ: Erlbaum
Fodor, J. A. (1975) The language of thought New York: Thomas Y. Crowell
Fodor, J. A. & Pylyshyn, Z. W. (1988) Connectionism and cognitive architecture: A critical appraisal.
Cognition 28: 3 - 71.
Hanson & Burr (1990) What connectionist models learn: Learning and Representation in connectionist
networks. Behavioral and Brain Sciences 13: 471-518.
Harnad, S. (1982a) Neoconstructivism: A unifying theme for the cognitive sciences. In: Language,
mind and brain (T. Simon & R. Scholes, eds., Hillsdale NJ: Erlbaum), 1 - 11.
Harnad, S. (1982b) Consciousness: An afterthought. Cognition and Brain Theory 5: 29 - 47.
Harnad, S. (1984a) What are the scope and limits of radical behaviorist theory? The Behavioral and
Brain Sciences 7: 720 -721.
Harnad, S. (1984b) Verifying machines' minds. (Review of J. T. Culbertson, Consciousness: Natural
and artificial, NY: Libra 1982.) Contemporary Psychology 29: 389 - 391.
Harnad, S. (1987) The induction and representation of categories. In: Harnad, S. (ed.) (1987)
Categorical Perception: The Groundwork of Cognition. New York: Cambridge University Press.
Harnad, S. (1989) Minds, Machines and Searle. Journal of Theoretical and Experimental Artificial
Intelligence 1: 5-25.
Harnad, S. (1990a) The Symbol Grounding Problem. Physica D 42: 335-346.
Harnad, S. (1990b) Symbols and Nets: Cooperation vs. Competition. Review of: S. Pinker and J.
Mehler (Eds.) (1988) Connections and Symbols Connection Science 2: 257-260.
Harnad, S. (1991) Other bodies, Other minds: A machine incarnation of an old philosophical problem.
Minds and Machines 1: 43-54.
Harnad, S. (1992a) Connecting Object to Symbol in Modeling Cognition. In: A. Clarke and R. Lutz
(Eds) Connectionism in Context Springer Verlag.
Harnad, S. (1992b) The Turing Test Is Not A Trick: Turing Indistinguishability Is A Scientific
Criterion. SIGART Bulletin 3(4) (October) 9 - 10.
Harnad, S. (1993a) Grounding Symbols in the Analog World with Neural Nets. Think 2: 12 - 78
(Special Issue on "Connectionism versus Symbolism" D.M.W. Powers & P.A. Flach, eds.).
Harnad, S. (1993b) Artificial Life: Synthetic Versus Virtual. Artificial Life III. Proceedings, Santa Fe
Institute Studies in the Sciences of Complexity. Volume XVI.
Harnad, S. (1993c) The Origin of Words: A Psychophysical Hypothesis In Durham, W &
Velichkovsky B (Eds.) Muenster: Nodus Pub. [Presented at Zif Conference on Biological and Cultural
Aspects of Language Development. January 20 - 22, 1992 University of Bielefeld]
Harnad, S. (1993d) Problems, Problems: The Frame Problem as a Symptom of the Symbol
Grounding Problem. PSYCOLOQUY 4(34) frame-problem.11.
Harnad, S. (1993e) Symbol Grounding is an Empirical Problem: Neural Nets are Just a Candidate
Component. Proceedings of the Fifteenth Annual Meeting of the Cognitive Science Society. NJ:
Erlbaum
Harnad, S. (1993f) Exorcizing the Ghost of Mental Imagery. Commentary on: JI Glasgow: "The
Imagery Debate Revisited." Computational Intelligence (in press)
Harnad, S. (1994, in press) Computation Is Just Interpretable Symbol Manipulation: Cognition Isn't.
Special Issue on "What Is Computation" Minds and Machines
Harnad, S., Hanson, S.J. & Lubin, J. (1991) Categorical Perception and the Evolution of Supervised
Learning in Neural Nets. In: Working Papers of the AAAI Spring Symposium on Machine Learning of
Natural Language and Ontology (DW Powers & L Reeker, Eds.) pp. 65-74. Presented at Symposium
on Symbol Grounding: Problems and Practice, Stanford University, March 1991; also reprinted as
Document D91-09, Deutsches Forschungszentrum fur Kuenstliche Intelligenz GmbH Kaiserslautern
FRG.
Harnad, S. Hanson, S.J. & Lubin, J. (1994) Learned Categorical Perception in Neural Nets:
Implications for Symbol Grounding. In: V. Honavar & L. Uhr (eds) Symbol Processing and
Connectionist Network Models in Artificial Intelligence and Cognitive Modelling: Steps Toward
Principled Integration. (in press)
Jeannerod, M. (1994) The representing brain: neural correlates of motor intention and imagery.
Behavioral and Brain Sciences 17(2) in press.
Kentridge, R.W. (1993) Cognition, Chaos and Non-Deterministic Symbolic Computation: The Chinese
Room Problem Solved? Think 2: 44-47.
Newell, A. (1980) Physical Symbol Systems. Cognitive Science 4: 135 - 83
Pylyshyn, Z. W. (1984) Computation and cognition. Cambridge MA: MIT/Bradford
Pylyshyn, Z. W. (Ed.) (1987) The robot's dilemma: The frame problem in artificial intelligence.
Norwood NJ: Ablex
Searle, J. R. (1980) Minds, brains and programs. Behavioral and Brain Sciences 3: 417-424.
Searle, J.R. (1993) The Failures of Computationalism. Think 2: 68-73.
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status_changed: 2007-09-12 16:38:55
subjects:
- cog-psy
- comp-sci-robot
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title: Grounding Symbolic Capacity in Robotic Capacity
type: bookchapter
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