[go: up one dir, main page]

Skip to main content
Log in

Doing without representing?

  • Published:
Synthese Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

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 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

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

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01063896

Keywords

Navigation