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Anticipation and Future-Oriented Capabilities in Natural and Artificial Cognition

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50 Years of Artificial Intelligence

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4850))

Abstract

Empirical evidence indicates that anticipatory representations grounded in the sensorimotor neural apparatus are crucially involved in several low and high level cognitive functions, including attention, motor control, planning, and goal-oriented behavior. A unitary theoretical framework is emerging that emphasizes how simulative capabilities enable social abilities, too, including joint attention, imitation, perspective taking and communication. We argue that anticipation will be a key element for bootstrapping high level cognitive functions in cognitive robotics, too. We thus propose the challenge of understanding how anticipatory representations, that serve for coordinating with the future and not only with the present, develop in situated agents.

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  1. Istituto di Scienze e Tecnologie della Cognizione - CNR, Via S. Martino della Battaglia, 44 - 00185 Roma, Italy

    Giovanni Pezzulo

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Max Lungarella Fumiya Iida Josh Bongard Rolf Pfeifer

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Pezzulo, G. (2007). Anticipation and Future-Oriented Capabilities in Natural and Artificial Cognition. In: Lungarella, M., Iida, F., Bongard, J., Pfeifer, R. (eds) 50 Years of Artificial Intelligence. Lecture Notes in Computer Science(), vol 4850. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77296-5_24

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  • DOI: https://doi.org/10.1007/978-3-540-77296-5_24

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