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Anticipative Control of Voluntary Action: Towards a Computational Model

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Anticipatory Behavior in Adaptive Learning Systems (ABiALS 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5499))

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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.

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Author information

Authors and Affiliations

  1. Cognitive Psychology Unit & Leiden Institute for Brain and Cognition, Leiden University, Leiden, The Netherlands

    Pascal Haazebroek

  2. Department of Psychology Cognitive Psychology Unit, Leiden University, Wassenaarseweg 52, 2333 AK, Leiden, The Netherlands

    Bernhard Hommel

Authors
  1. Pascal Haazebroek
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  2. Bernhard Hommel
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Editor information

Editors and Affiliations

  1. Consiglio Nazionale delle Ricerche,Istituto di Linguistica Computazionale “Antonio Zampolli”, Via Giuseppe Moruzzi, 1 - 56124 Pisa, Italy and Consiglio Nazionale delle Ricerche,Istituto di Scienze e Tecnologie della Cognizione, Via San Martino della Ba, Italy

    Giovanni Pezzulo

  2. COBOSLAB – Cognitive Bodyspaces: Learning and Behavior, Department of Psychology III, University of Würzburg, Röntgenring 11, 97070, Würzburg, Germany

    Martin V. Butz

  3. Institut des Systèmes Intelligents et de Robotique (CNRS UMR 7222), Université Pierre et Marie Curie, Pyramide Tour 55, 4 Place Jussieu, 75252, Paris Cedex 05, France

    Olivier Sigaud

  4. Consiglio Nazionale delle Ricerche, Istituto di Scienze e Tecnologie della Cognizione, Laboratory of Computational Embodied Neuroscience, Via San Martino della Battaglia 44, 00185, Roma, Italy

    Gianluca Baldassarre

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Haazebroek, P., Hommel, B. (2009). Anticipative Control of Voluntary Action: Towards a Computational Model. In: Pezzulo, G., Butz, M.V., Sigaud, O., Baldassarre, G. (eds) Anticipatory Behavior in Adaptive Learning Systems. ABiALS 2008. Lecture Notes in Computer Science(), vol 5499. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02565-5_3

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  • DOI: https://doi.org/10.1007/978-3-642-02565-5_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02564-8

  • Online ISBN: 978-3-642-02565-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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