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The Evolution of Cognition — From First Order to Second Order Embodiment

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Modeling Communication with Robots and Virtual Humans

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4930))

Abstract

The capability to behave autonomously is assumed to rely fundamentally on being embedded into the current situation and in the own body. While reactive systems seem sufficient to address these aspects to assure ones surviving in an unpredictable environment, they clearly lack cognitive capabilities as planning ahead: The latter requires internal models which represents the body and the environment and which can be used to mentally simulate behaviours before actually performing one of them. Initially, these models may have evolved in reactive systems to serve specific actions. Cognitive functions may have developed later exploiting the capabilities of these models.

We provide a neuronal network approach for such an internal model that can be used as a forward model, an inverse model and a sensor fusion model. It is integrated into a reactive control scheme of a walking machine, enabling the system to plan its actions by mentally simulating them.

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  1. Department of Biological Cybernetics and Theoretical Biology, University of Bielefeld, P.O. Box 10 01 31, D-33501, Bielefeld, Germany

    Malte Schilling & Holk Cruse

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  1. Malte Schilling
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  2. Holk Cruse
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Ipke Wachsmuth Günther Knoblich

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Schilling, M., Cruse, H. (2008). The Evolution of Cognition — From First Order to Second Order Embodiment. In: Wachsmuth, I., Knoblich, G. (eds) Modeling Communication with Robots and Virtual Humans. Lecture Notes in Computer Science(), vol 4930. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79037-2_5

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  • DOI: https://doi.org/10.1007/978-3-540-79037-2_5

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