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Doing without representing?

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Abstract

Connectionism and classicism, it generally appears, have at least this much in common: both place some notion of internal representation at the heart of a scientific study of mind. In recent years, however, a much more radical view has gained increasing popularity. This view calls into question the commitment to internal representation itself. More strikingly still, this new wave of anti-representationalism is rooted not in ‘armchair’ theorizing but in practical attempts to model and understand intelligent, adaptive behavior. In this paper we first present, and then critically assess, a variety of recent anti-representationalist treatments. We suggest that so far, at least, the sceptical rhetoric outpaces both evidence and argument. Some probable causes of this premature scepticism are isolated. Nonetheless, the anti-representationalist challenge is shown to be both important and progressive insofar as it forces us to see beyond the bare representational/non-representational dichotomy and to recognize instead a rich continuum of degrees and types of representationality.

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References

  • Abraham, R. H. and Shaw C. D.: 1992,Dynamics. The Geometry of Behavior, 2nd ed., Addison-Wesley, Redwood City, California.

    Google Scholar 

  • Beer, R.: 1990,Intelligence and Adaptive Behavior, Academic Press, San Diego, California.

    Google Scholar 

  • Beer, R.: to appear, ‘A Dynamical Systems Perspective on Environment Agent Interactions’,Artificial Intelligence.

  • Beer, R. and Gallagher, J. C.: 1992, ‘Evolving Dynamical Neural Networks for Adaptive Behavior’,Adaptive Behavior 1, 91–122.

    Google Scholar 

  • Beer, R., Chiel, H. J., Quinn, R. D., Espenschied, K. S. and Larsson, P.: 1992, ‘A Distributed Neural Network Architecture for Hexapod Robot Locomotion’,Neural Comp. 4, 356–565.

    Google Scholar 

  • Brooks, R.: 1991, ‘Intelligence Without Representation’,Artificial Intelligence 47, 139–159.

    Google Scholar 

  • Churchland, P. M.: 1989,A Neurocomputational Perspective, MIT Press, Cambridge, Massachusetts.

    Google Scholar 

  • Churchland, P. S. and Sejnowski, T. J.: 1992,The Computational Brain, MIT Press, Cambridge, Massachusetts.

    Google Scholar 

  • Clark, A.: 1989,Microcognition, MIT Press, Cambridge, Massachusetts.

    Google Scholar 

  • Clark, A.: 1992, ‘The Presence of a Symbol’,Connection Science 4 193–206.

    Google Scholar 

  • Clark, A.: 1993,Associative Engines, MIT Press, Cambridge, Massachusetts.

    Google Scholar 

  • Cleeremans, A.: 1993,Mechanisms of Implicit Learning: Connectionist Models of Sequence Processing, MIT Press/Bradford Books, Cambridge, Massachusetts.

    Google Scholar 

  • Corbetta, M., Miezin, F. M., Dobmeyer, S., Gordon, L. S. and Peterson, S. E.: 1991, ‘Selective and Divided Attention During Visual Discriminations of Shape, Color and Speed: Functional Anatomy by Positron Emission Tomography’,The Journal of Neuroscience 11, 2383–402.

    Google Scholar 

  • Dennett, D.: 1981,Brainstorms, MIT Press, Cambridge, Massachusetts.

    Google Scholar 

  • Dreyfus, H. L.: 1991,Being-in-the-World. A Commentary on Heidegger's Being and Time. Division I, MIT Press, Cambridge, Massachusetts.

    Google Scholar 

  • Elman, J. L.: 1991, ‘Distributed Representations, Simple Recurrent Networks and Grammatical Structure’,Machine Learning 7, 195–225.

    Google Scholar 

  • Fodor, J.: 1975,The Language of Thought, Crowell, New York.

    Google Scholar 

  • Fodor, J.: 1987,Psychosemantics. The Problem of Meaning in the Philosophy of Mind, MIT Press, Cambridge, Massachusetts..

    Google Scholar 

  • Fodor, J. and Pylyshyn, Z.: 1988, ‘Connectionism and Cognitive Architecture: A Critical Analysis’,Cognition,28, 3–71.

    Google Scholar 

  • Giunti, M.: 1992,Computers, Dynamical Systems, Phenomena and the Mind, Ph.D thesis, Indiana University.

  • Harcourt, A.: 1988, ‘All's Fair in Play and Politics’,New Scientist 108, 35–42.

    Google Scholar 

  • Haugeland, J.: 1991, ‘Representational Genera’, In W. Ramsey, S. Stich and D. Rumelhart (eds.),Philosophy and Connectionist Theory, Erlbaum, New Jersey, pp. 61–90.

    Google Scholar 

  • Heidegger, M.: 1962,Being and Time, Harper and Row, New York.

    Google Scholar 

  • Hinton, G., Plut, D. and Shallice, T.: 1993, ‘Simulating Brain Damage’,Scientific American 269, 76–82.

    Google Scholar 

  • Livingstone, M. S. and Hubel, D. H.: 1987, ‘Psychophysical Evidence for Separate Channels for the Perception of Form, Color, Movement, and Depth’,The Journal of Neuroscience 7, 3416–68.

    Google Scholar 

  • McClelland, J., Rumelhart, D. and the PDP Research Group: 1986,Parallel Distributed Processing: Explorations in the Micro-Structure of Cognition, Vols. I and II, MIT Press, Cambridge, Massachusetts.

    Google Scholar 

  • Newell, A. and Simon, H.: 1972,Human Problem Solving, Prentice-Hall, New Jersey.

    Google Scholar 

  • Pinker, S. and Prince, A.: 1988, ‘On Language and Connectionism. Analysis of a Parallel Distributed Processing’,Cognition 28, 73–193

    Google Scholar 

  • Port, R.: 1990, ‘Representation and Recognition of Temporal Patterns’,Connection Science 2, 151–76.

    Google Scholar 

  • Rumelhart, D. and McClelland, J.: 1986, ‘On Learning the Past Tenses of English Verbs’, in J. McClelland et al. (eds.),Parallel Distributed Processing: Exploration in the Microstructure of Cognition, Vol. 2, MIT Press, Cambridge, Massachusetts., pp. 216–71.

    Google Scholar 

  • Seidenberg, M. and McClelland, J.: 1989, ‘A Distributed, Developmental Model of Word Recognition and Naming’,Psychological Review 96, 523–68.

    Google Scholar 

  • Smolensky, P.: 1988, ‘On the Proper Treatment of Connectionism’,Behavioral and Brain Sciences 11, 1–74.

    Google Scholar 

  • van Essen, D., Anderson, C. and Olshausen, B.: in press, ‘Dynamic Routing Strategies in Sensory, Motor and Cognitive Processing’, in C. Koch and J. Davis (eds.),Large Scale Neuronal Theories of the Brain, MIT Press, Cambridge, Massachusetts.

  • van Gelder, T. J.: 1990, ‘Compositionality: A Connectionist Variation on a Classical Theme’,Cognitive Science 14, 335–84.

    Google Scholar 

  • van Gelder, T. J.: 1991, ‘What is the “D” in “PDP”?. A Survey of the Concept of Distribution’, in R. W. Ramsey et al. (eds.),Philosophy and Connectionist Theory, Erlbaum, New Jersey.

    Google Scholar 

  • van Gelder, T. J.: in press — a, ‘Is Cognition Categorization?’, in G. V. Nakamura, R. M. Taraban and D. L. Medin (eds.),Categorization by Humans and Machines, Academic Press, San Diego, California.

  • van Gelder, T. J.: in press — b, ‘What Might Cognition Be if Not Computation?’, in R. Port and T. J. van Gelder (eds.),Mind as Motion: Dynamics, Behavior and Cognition, MIT Press, Cambridge, Massachusetts.

  • van Gelder, T. J. and Port, R.: 1993, ‘Beyond Symbolic: Prolegomena to aKama-Sutra of Compositionality’, in V. Honavar and L. Uhr (eds), Symbol Processing and Connectionist Models in Artificial Intelligence and Cognition: Steps Toward Integration, Academic Press, San Diego, California.

    Google Scholar 

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Clark, A., Toribio, J. Doing without representing?. Synthese 101, 401–431 (1994). https://doi.org/10.1007/BF01063896

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