Cogprints

Connecting Object to Symbol in Modeling Cognition

Harnad, Stevan (1992) Connecting Object to Symbol in Modeling Cognition. [Book Chapter]

Full text available as:

[img] HTML
49Kb

Abstract

In this toy model of the simplest form of categorization performed by neural nets, CP effects arise as a natural side-effect of the way these particular nets accomplish categorization. Whether the CP effect is universal or peculiar to some kinds of nets (cf. Grossberg 1984), whether the nets' capacity to do simple one-dimensional categorization will scale up to the full multidimensional categorization capacities of human beings, how the grounded labels of these sensory categories are to be combined into strings of symbols that function as propositions about higher-order category membership, and how the nonarbitrary "shape" constraints these symbols inherit from their grounding will affect the functioning of such a hybrid symbol system remain questions for future research. If these results can be generalized, however, the "warping" of analog similarity space may be a significant factor in grounding.

Item Type:Book Chapter
Keywords:Connectionism, computationalism, cognitive modeling, symbol systems, categorical perception
Subjects:Neuroscience > Neural Modelling
Psychology > Perceptual Cognitive Psychology
Philosophy > Philosophy of Mind
ID Code:1583
Deposited By: Harnad, Stevan
Deposited On:18 Jun 2001
Last Modified:11 Mar 2011 08:54

References in Article

Select the SEEK icon to attempt to find the referenced article. If it does not appear to be in cogprints you will be forwarded to the paracite service. Poorly formated references will probably not work.

Berlin, B. & Kay, P. (1969) Basic color terms: Their universality and evolution. Berkeley: University of California Press

Boynton, R. M. (1979) Human color vision. New York: Holt, Rinehart, Winston

Cottrell, Munro & Zipser (1987) Image compression by back propagation: an example of extensional programming. ICS Report

8702 Institute for Cognitive Science, UCSD.

Davis, M. (1958) Computability and unsolvability. Manchester: McGraw-Hill.

Dietrich, E. (1990) Computationalism. Social Epistemology 4: 135 - 154.

Elman J. & Zipser D. (1987) Learning the Hidden Structure of Speech. ICS Report 8701 Institute for Cognitive Science, UCSD.

Fodor, J. & Pylyshyn, Z. (1988) Connectionism and cognitive architecture: A critical analysis. Cognition 28: 3 - 71.

Fodor, J. A. (1975) The language of thought New York Thomas Y. Crowell

Fodor, J. A. (1985) Précis of "The Modularity of Mind." Behavioral and Brain Sciences 8: 1 - 42.

Gibson, E. J. (1969) Principles of perceptual learning and development. Engelwood Cliffs NJ: Prentice Hall

Grossberg S.G. (1984) Some Physiological and Pharmacological Correlates of a Developmental, Cognitive, and Motivational

Theory. In: Karrer R, Cohen J, and Tueting P, (Eds.), "Brain and Information: Event-Related Potentials." Annals of the New

York Academy of Sciences 425: 58-151.

Hanson S.J. & Burr (1990) What connectionist models learn: Learning and Representation in connectionist networks. Behavioral

and Brain Sciences 13: 471-518.

Harnad S. (1984) Verifying machines' minds. Contemporary Psychology 29: 389-391.

Harnad, S. (1987a) (Ed.) Categorical Perception: The Groundwork of Cognition. Cambridge University Press.

Harnad, S. (1987b) Category induction and representation. In Harnad 1987a.

Harnad, S. (1987c) Uncomplemented Categories, or, What Is It Like To Be a Bachelor (Presidential Address, 13th Annual

Meeting of the Society for Philosophy and Psychology, UCSD, 1987)

Harnad, S. (1989) Minds, machines and Searle. Journal of Experimental and Theoretical Artificial Intelligence. 1: 5-25.

Harnad, S. (1990a) The Symbol Grounding Problem. Physica D 42:335-346.

Harnad S. (1990b) Lost in the hermeneutic hall of mirrors. Journal of Experimental and Theoretical Artificial Intelligence 2:

321 - 327.

Harnad, S. (1990c) Commentary on Dietrich's (1990) "Computationalism." Social Epistemology 4: 167-172.

Harnad, S. (1990d) 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 Reincarnation of an Old Philosophical Problem. Minds and Machines

1: 43-54

Harnad, S., Hanson, S.J., & Lubin J. (1991) Categorical Perception and the Evolution of Supervised Learning in Neural Nets.

Presented at American Association for Artificial Intelligence Symposium on Symbol Grounding: Problem and Practice, Stanford

University, March 1991.

Kleene, S. C. (1969) Formalized recursive functionals and formalized realizability." Providence American Mathematical Society.

Lane, H. (1965) The motor theory of speech perception: A critical review. Psychological Review 72: 275 - 309.

Lawrence, D. H. (1950) Acquired distinctiveness of cues: II. Selective association in a constant stimulus situation. Journal of

Experimental Psychology 40: 175 - 188.

Lucas, J . (1961) Minds, machines and Gödel. Philosophy 36: 112-117.

McClelland, J. L., Rumelhart, D. E., and the PDP Research Group (1986) Parallel distributed processing: Explorations in the

microstructure of cognition, Volume 1. Cambridge MA: MIT/Bradford.

Miller, G. A. (1956) The magical number seven, plus or minus two: Some limits on our capacity for processing information.

Psychological Review 63: 81 - 97.

Minsky, M. & Papert, S. (1969) Perceptrons: An introduction to computational geometry. Cambridge MA: MIT Press

Newell, A. (1980) Physical Symbol Systems. Cognitive Science 4: 135 - 83.

Penrose, R. (1989) The emperor's new mind. Oxford: Oxford University Press

Penrose, R. (1990) Precis of: "The emperor's new mind." Behavioral and Brain Sciences 13: 643-705.

Pylyshyn, Z. W. (1984) Computation and cognition. Cambridge MA: Bradford Books

Searle, J. R. (1980a) Minds, brains and programs. Behavioral and Brain Sciences 3: 417-424.

Searle, J. R. (1980b) Intrinsic intentionality. Behavioral and Brain Sciences 3: 450-457.

Shepard, R. N. & Cooper, L. A. (1982) Mental images and their transformations. Cambridge: MIT Press/Bradford.

Siegel, J. A. & Siegel, W. (1977) Absolute identification of notes and intervals by musicians. Perception & Psychophysics 21:

143-152.

Smolensky, P. (1988) On the proper treatment of connectionism. Behavioral and Brain Sciences 11: 1 - 74.

Turing, A. M. (1964) Computing machinery and intelligence. In: Minds and machines, A . Anderson (ed.), Engelwood Cliffs NJ:

Prentice Hall.

Tversky, A. (1977) Features of similarity. Psychological Review 84: 327 - 352.

Ullman, S. (1980) Against direct perception. Behavioral and Brain Sciences 3: 373 - 415.

Wittgenstein, L. (1953) Philosophical investigations. New York: Macmillan

Zadeh, L. A. (1965) Fuzzy sets. Information & Control 8: 338-353.

Metadata

Repository Staff Only: item control page