Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Sign In to gain access to subscriptions and/or personal tools.
Adaptive Behavior
This Article
Right arrow Abstract Freely available
Right arrow Free Full Text (Free PDF) Free
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in Web of Science
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via Web of Science (2)
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Chemero, A.
Right arrow Articles by Turvey, M. T.
Right arrow Search for Related Content
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

Gibsonian Affordances for Roboticists

Anthony Chemero

Scientific and Philosophical Studies of Mind Program, Franklin and Marshall College, Lancaster, PA, USA, tony.chemero{at}fandm.edu

Michael T. Turvey

Department of Psychology, University of Connecticut and Haskins Laboratories, University of Connecticut, Storrs, CT, USA

Using hypersets as an analytic tool, we compare traditionally Gibsonian (Chemero 2003; Turvey 1992) and representationalist (Sahin et al. this issue) understandings of the notion `affordance'. We show that representationalist understandings are incompatible with direct perception and erect barriers between animal and environment. They are, therefore, scarcely recognizable as understandings of `affordance'. In contrast, Gibsonian understandings are shown to treat animal-environment systems as unified complex systems and to be compatible with direct perception. We discuss the fruitful connections between Gibsonian affordances and dynamical systems explanation in the behavioral sciences and point to prior fruitful application of Gibsonian affordances in robotics. We conclude that it is unnecessary to re-imagine affordances as representations in order to make them useful for researchers in robotics.

Key Words: affordances • Gibson • hypersets

References

  • Aczel, P. 1988. Non-well-founded Sets. Stanford: CSLI.
  • Barwise, J., & Etchemendy, J. (1987). The liar: an essay on truth and circularity. New York: Oxford University Press.
  • Barwise, J., & Moss, L. (1996). Vicious circles. Stanford: CSLI.
  • Bird, J., Layzell, P., Webb, A., & Husbands, P. (2003). Towards epistemically autonomous robots: Exploiting the potential of physical systems. Leonardo, 56, 109—114.
  • Chemero, A. (2003). An outline of a theory of affordances. Ecological Psychology, 15, 181—195.
  • Chemero, A., & Turvey, M. (2007a). Hypersets, complexity, and the ecological approach to perception-action. Biological Theory, 2, 23—36.[CrossRef]
  • Chemero, A., & Turvey, M. (2007b). Autonomy and hypersets. BioSystems, published online doi:10.1016/j.biosystems. 2007.05.010.
  • Clark, A. (1997). Being there. Cambridge: MIT Press.
  • Duchon, M., & Warren, W. (1994). Robot navigation from a Gibsonian viewpoint. In IEEE Conference on Systems, Man and Cybernetics, pp. 2272—2277. Piscataway, NJ: IEEE.
  • Duchon, M., Warren, W., & Kaelbling, L. (1995). Ecological robotics: Controlling behavior with optical flow. In J. D. Moore & J. F. Lehman (Eds.), Proceedings of the 17th Annual Conference of the Cognitive Science Society, (pp. 164—169). Mahwah, NJ: Lawrence Erlbaum Associates.
  • Gibson, J.J. (1979). The ecological approach to visual perception. Boston: Houghton Mifflin
  • Kelso, J. (1995). Dynamic patterns. Cambridge: MIT Press. Kelso, J., & Engstrom, D. (2006). The complementary nature. Cambridge: MIT Press.
  • Kugler, P., & Turvey, M. (1987). Information, natural law, and the self-assembly of rhythmic movement. Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
  • Kugler, P.N., Kelso, J.A.S., & Turvey, M.T. (1980). Coordinative structures as dissipative structures I. Theoretical lines of convergence. In G. E. Stelmach & J. Requin (Eds.), Tutorials in motor behavior. Amsterdam: North Holland, pp. 3—47.
  • Kuniyoshi, Y., Yorozu, Y., Ohmura, Y., Terada, K., Otani, T., Nagakubo, A., & Yamamoto, T. (2004). From humanoid embodiment to theory of mind. In F. Lida, P. Pfeiffer, L. Steels, & Y. Kuniyoshi (Eds.), Embodied artificial intelligence. Springer: New York.
  • Lewis, M., & Simo, L. (2001). Certain principles of biomorphic robotics. Autonomous Robotics, 11, 221—226.[CrossRef]
  • Lisitsa, A.P., & Sazonov, V. Yu. (1999). Linear ordering on graphs, anti-founded sets and polynomial time computability. Theoretical Computer Science, 224, 173—213.
  • Norman, D. (1988). The psychology of everyday things. New York: Basic Books.
  • Rosen, R. (1991). Life itself. New York: Columbia University Press.
  • Rosen, R. (2000). Essays on life itself. New York: Columbia University Press.
  • Sazonov, V.Y. (2006). Querying hyperset/web-like databases. Logic Journal, IGPL14, 785—814.[CrossRef]
  • Slocum, A., Downey, D., & Beer, R. (2000). Further experiments in the evolution of minimally cognitive behavior: from perceiving affordances to selective attention. In J. Meyer, A. Berthoz, D. Floreano, W. Roitblat and S. Wilson (Eds.), From Animals to Animats 6: Proceedings of the Sixth International Conference on the Simulation of Adaptive Behavior pp. 430—439.
  • Stoffregen, T. (2003). Affordances as properties of the animal-environment system. Ecological Psychology, 15, 115—134.
  • Turvey, M. (1992). Affordances and Prospective Control: An outline of the ontology. Ecological Psychology, 4, 173—187.
  • Turvey, M.T. (2004). Impredicativity, dynamics, and the perception-action divide. In V. K. Jirsa, & J. A. S. Kelso (Eds.), Coordination dynamics: issues and trends. Vol.1 applied complex systems, pp. 1—20. New York: Springer Verlag.
  • Vera, A.H., & Simon, H.A. (1993). Situated action: A symbolic interpretation. Cognitive Science, 17, 7—48.[Web of Science]
  • Warren, W. (2006). The dynamics of perception and action. Psychological Review, 113, 359—389.
  • Wells, A.J. (2002). Gibson's affordances and Turing's theory of computation. Ecological Psychology, 14, 141—180.

Adaptive Behavior, Vol. 15, No. 4, 473-480 (2007)
DOI: 10.1177/1059712307085098


Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?



This Article
Right arrow Abstract Freely available
Right arrow Free Full Text (Free PDF) Free
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in Web of Science
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via Web of Science (2)
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Chemero, A.
Right arrow Articles by Turvey, M. T.
Right arrow Search for Related Content
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?