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Proceedings Paper

Constructive biology and approaches to temporal grounding in postreactive robotics
Author(s): Chrystopher L. Nehaniv; Kerstin Dautenhahn; Martin J. Loomes
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Paper Abstract

Constructive Biology means understanding biological mechanisms through building systems that exhibit life-like properties. Applications include learning engineering tricks from biological system, as well as the validation in biological modeling. In particular, biological system in the course of development and experience become temporally grounded. Researchers attempting to transcend mere reactivity have been inspired by the drives, motivations, homeostasis, hormonal control, and emotions of animals. In order to contextualize and modulate behavior, these ideas have been introduced into robotics and synthetic agents, while further flexibility is achieved by introducing learning. Broadening scope of the temporal horizon further requires post-reactive techniques that address not only the action in the now, although such action may perhaps be modulated by drives and affect. Support is needed for expressing and benefitting from pats experiences, predictions of the future, and form interaction histories of the self with the world and with other agents. Mathematical methods provide a new way to support such grounding in the construction of post-reactive systems. Moreover, the communication of such mathematical encoded histories of experience between situated agents opens a route to narrative intelligence, analogous to communication or story telling in societies.

Paper Details

Date Published: 26 August 1999
PDF: 12 pages
Proc. SPIE 3839, Sensor Fusion and Decentralized Control in Robotic Systems II, (26 August 1999); doi: 10.1117/12.360335
Show Author Affiliations
Chrystopher L. Nehaniv, Univ. of Hertfordshire (United Kingdom)
Kerstin Dautenhahn, Univ. of Reading and Massachusetts Institute of Technology (United Kingdom)
Martin J. Loomes, Univ. of Hertfordshire (United Kingdom)

Published in SPIE Proceedings Vol. 3839:
Sensor Fusion and Decentralized Control in Robotic Systems II
Gerard T. McKee; Paul S. Schenker, Editor(s)

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