Paper
26 August 1999 Constructive biology and approaches to temporal grounding in postreactive robotics
Chrystopher L. Nehaniv, Kerstin Dautenhahn, Martin J. Loomes
Author Affiliations +
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.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chrystopher L. Nehaniv, Kerstin Dautenhahn, and Martin J. Loomes "Constructive biology and approaches to temporal grounding in postreactive robotics", Proc. SPIE 3839, Sensor Fusion and Decentralized Control in Robotic Systems II, (26 August 1999); https://doi.org/10.1117/12.360335
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Cited by 20 scholarly publications.
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KEYWORDS
Biology

Robotics

Modulation

Robots

Cognitive modeling

Organisms

Sensors

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