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Embodied anticipation in neurocomputational cognitive architectures for robotic agents

Alberto Montebelli
University of Skövde, School of Humanities and Informatics, Sweden

Robert Lowe
University of Skövde, School of Humanities and Informatics, Sweden

Tom Ziemke
University of Skövde, School of Humanities and Informatics, Sweden

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Ingår i: The Swedish AI Society Workshop May 27-28; 2009 IDA; Linköping University

Linköping Electronic Conference Proceedings 35:6, s. 27-36

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Publicerad: 2009-05-27

ISBN:

ISSN: 1650-3686 (tryckt), 1650-3740 (online)

Abstract

The coupling between a body (in an extended sense that encompasses both neural and non-neural dynamics) and its environment is here conceived as a critical substrate for cognition. We propose and discuss the plan for a neurocomputational cognitive architecture for robotic agents; so far implemented in its minimal form for supporting the behavior of a simple simulated robotic agent. A non-neural internal bodily mechanism (crucially characterized by a time scale much slower than the normal sensory-motor interactions of the robot with its environment) extends the cognitive potential of a system composed of purely reactive parts with a dynamic action selection mechanism and the capacity to integrate information over time. The same non-neural mechanism is the foundation for a novel; minimalist anticipatory architecture; implementing our bodily-anticipation hypothesis and capable of swift readaptation to related yet novel tasks.1

Nyckelord

Cognitive robotics; embodied cognition; dynamic systems; neuromodulation; anticipation; multiple time scales; bio-regulation

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