Advertisement

Anticipative Control of Voluntary Action: Towards a Computational Model

  • Pascal Haazebroek
  • Bernhard Hommel
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5499)

Abstract

Human action is goal-directed and must thus be guided by anticipations of wanted action effects. How anticipatory action control is possible and how it can emerge from experience is the topic of the ideomotor approach to human action. The approach holds that movements are automatically integrated with representations of their sensory effects, so that reactivating the representation of a wanted effect by “thinking of it” leads to a reactivation of the associated movement. We present a broader theoretical framework of human perception and action control—the Theory of Event Coding (TEC)—that is based on the ideomotor principle, and discuss our recent attempts to implement TEC by means of a computational model (HiTEC) to provide an effective control architecture for artificial systems and cognitive robots.

Keywords

Voluntary Action Traffic Light Event File Feature Code Sensory Code 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Andersen, R.A.: The neurobiological basis of spatial cognition: Role of the parietal lobe. In: Stiles-Davis, J., Krtichivsky, M., Belugi, U. (eds.) Spatial cognition: Brain bases and development. Erlbaum, Mahwah (1988)Google Scholar
  2. 2.
    Brunswik, E.: Distal focussing of perception: Size constancy in a representative sample of situations. Psychological Monographs 56(1) (1944)Google Scholar
  3. 3.
    Butz, M.V., Pezzulo, G.: Benefits of Anticipations in Cognitive Agents. In: Pezzulo, G., Butz, M.V., Castelfranchi, C., Falcone, R. (eds.) The Challenge of Anticipation. LNCS, vol. 5225, pp. 45–62. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  4. 4.
    Colby, C.L.: Action-oriented spatial reference frames in the cortex. Neuron 20, 15–20 (1998)CrossRefGoogle Scholar
  5. 5.
    Cowey, A.: Aspects of cortical organization related to selective attention and selective impairments of visual perception: A tutorial review. In: Poster, M.I., Marin, O.S.M. (eds.) Attention and performance XI, pp. 41–62. Erlbaum, Hillsdale (1985)Google Scholar
  6. 6.
    Dewey, J.: The reflex arc concept in psychology. Psychological Review 3, 357–370 (1896)CrossRefGoogle Scholar
  7. 7.
    DeYoe, E.A., Van Essen, D.C.: Concurrent processing streams in monkey visual cortex. Trends in Neuroscience 11, 219–226 (1988)CrossRefGoogle Scholar
  8. 8.
    Elsner, B., Hommel, B.: Effect anticipation and action control. Journal of Experimental Psychology: Human Perception and Performance 27 (2001)Google Scholar
  9. 9.
    Gibson, J.J.: The ecological approach to visual perception. Houghton Mifflin, Boston (1979)Google Scholar
  10. 10.
    Glover, S.: Separate visual representations in the planning and control of action. Behavioral and Brain Sciences 27, 3–24 (2004)Google Scholar
  11. 11.
    Greenwald, A.: Sensory feedback mechanisms in performance control: With special reference to the ideomotor mechanism. Psychological Review 77, 73–99 (1970)CrossRefGoogle Scholar
  12. 12.
    Harless, E.: Der Apparat des Willens. Zeitschrift fuer Philosophie und philosophische Kritik 38, 50–73 (1861)Google Scholar
  13. 13.
    Haazebroek, P., Hommel, B.: HiTEC: A computational model of the interaction between perception and action (submitted)Google Scholar
  14. 14.
    Heider, F.: Thing and medium. Psychological Issues, Monograph 3 (original work published 1959) (1926/1959)Google Scholar
  15. 15.
    Heider, F.: The function of the perceptual system. Psychological Issues, 1959, Monograph, 371–394 (1930/1959) (original work published 1930)Google Scholar
  16. 16.
    Hommel, B.: The cognitive representation of action: Automatic integration of perceived action effects. Psychological Research 59, 176–186 (1996)CrossRefGoogle Scholar
  17. 17.
    Hommel, B.: The prepared reflex: Automaticity and control in stimulus-response translation. In: Monsell, S., Driver, J. (eds.) Control of cognitive processes: Attention and performance XVIII, pp. 247–273. MIT Press, Cambridge (2000)Google Scholar
  18. 18.
    Hommel, B.: Event files: Feature binding in and across perception and action. Trends in Cognitive Sciences 8, 494–500 (2004)CrossRefGoogle Scholar
  19. 19.
    Hommel, B.: Grounding attention in action control: The intentional control of selection. In: Bruya, B.J. (ed.) Effortless attention: A new perspective in the cognitive science of attention and action. MIT Press, CambridgeGoogle Scholar
  20. 20.
    Hommel, B., Elsner, B.: Acquisition, representation, and control of action. In: Morsella, E., Bargh, J.A., Gollwitzer, P.M. (eds.) Oxford handbook of human action, pp. 371–398. Oxford University Press, New York (2009)Google Scholar
  21. 21.
    Hommel, B., Müsseler, J., Aschersleben, G., Prinz, W.: The Theory of Event Coding (TEC): A framework for perception and action planning. Behavioral and Brain Sciences 24, 849–937 (2001)CrossRefGoogle Scholar
  22. 22.
    James, W.: The principles of psychology. Dover Publications, New York (1890)CrossRefGoogle Scholar
  23. 23.
    Lotze, R.H.: Medicinische Psychologie oder die Physiologie der Seele. Weidmann’sche Buchhandlung, Leipzig (1852)Google Scholar
  24. 24.
    McClelland, J.L.: Toward a theory of information processing in graded, random, and interactive networks. In: Meyer, D.E., Kornblum, S. (eds.) Attention and performance XIV: Synergies in experimental psychology, artificial intelligence and cognitive neuroscience – A Silver Jubilee Volume. MIT Press, Cambridge (1992)Google Scholar
  25. 25.
    Milner, A.D., Goodale, M.A.: The visual brain in action. Oxford University Press, Oxford (1995)Google Scholar
  26. 26.
    O’Reilly, R.C., Norman, K.A.: Hippocampal and neocortical contributions to memory: Advances in the complementary learning systems framework. Trends in Cognitive Sciences 6, 505–510 (2002)CrossRefGoogle Scholar
  27. 27.
    Piaget, J.: The origins of intelligence in childhood. International Universities Press (1952)Google Scholar
  28. 28.
    Prinz, W.: Ideo-motor action. In: Heuer, H., Sanders, A.F. (eds.) Perspectives on perception and action. Erlbaum, Hillsdale (1987)Google Scholar
  29. 29.
    Prinz, W.: A common coding approach to perception and action. In: Neumann, O., Prinz, W. (eds.) Relationships between perception and action, pp. 167–201. Springer, Berlin (1990)CrossRefGoogle Scholar
  30. 30.
    Prinz, W.: Why don’t we perceive our brain states? European Journal of Cognitive Psychology 4, 1–20 (1992)CrossRefGoogle Scholar
  31. 31.
    Rumelhart, D.E., Hinton, G.E., McClelland, J.L.: A general framework for parallel distributed processing. In: Rumelhart, D.E., McClelland, J.L., The PDP Research Group (eds.) Parallel distributed processing: Explorations in the microstructure of cognition, vol. 1, pp. 45–76. MIT Press, Cambridge (1986)Google Scholar
  32. 32.
    Schmidt, R.A.: A schema theory of discrete motor skill learning. Psychological Review 82, 225–260 (1975)CrossRefGoogle Scholar
  33. 33.
    Stock, A., Stock, C.: A short history of ideo-motor action. Psychological Research 68, 176–188 (2004)CrossRefGoogle Scholar
  34. 34.
    Thorndike, E.L.: Ideo-motor action. Psychological Review 20, 91–106 (1913)CrossRefGoogle Scholar
  35. 35.
    Treisman, A.: The binding problem. Current Opinion in Neurobiology 6, 171–178 (1996)CrossRefGoogle Scholar
  36. 36.
    Van der Velde, F., De Kamps, M.: From knowing what to knowing where: Modeling object-based attention with feedback disinhibition of activation. Journal of Cognitive Neuroscience 13(4), 479–491 (2001)CrossRefGoogle Scholar
  37. 37.
    Van der Velde, F., De Kamps, M., Van der Voort van der Kleij, G.: Clam: Closed-loop attention model for visual search. Neurocomputing 58-60, 607–612 (2004)CrossRefGoogle Scholar
  38. 38.
    Wilson, H., Cowan, J.: Excitatory and inhibitory interactions in localized populations of model neurons. Biophysics Journal 12, 1–24 (1972)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Pascal Haazebroek
    • 1
  • Bernhard Hommel
    • 2
  1. 1.Cognitive Psychology Unit & Leiden Institute for Brain and CognitionLeiden UniversityLeidenThe Netherlands
  2. 2.Department of Psychology Cognitive Psychology UnitLeiden UniversityLeidenThe Netherlands

Personalised recommendations