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Bio-inspired computing tissues: towards machines that evolve, grow and learn

Teuscher, C., Mange, D., Stauffer, A. and Tempesti, G. (2003) Bio-inspired computing tissues: towards machines that evolve, grow and learn. Biosystems, 68 (2-3). pp. 235-244. ISSN 0303-2647

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Abstract

Biological inspiration in the design of computing machines could allow the creation of new machines with promising characteristics such as fault-tolerance, self-replication or cloning, reproduction, evolution, adaptation and learning, and growth. The aim of this paper is to introduce bio-inspired computing tissues that might constitute a key concept for the implementation of ‘living’ machines. We first present a general overview of bio-inspired systems and the POE model that classifies bio-inspired machines along three axes. The Embryonics project—inspired by some of the basic processes of molecular biology—is described by means of the BioWatch application, a fault-tolerant and self-repairable watch. The main characteristics of the Embryonics project are the multicellular organization, the cellular differentiation, and the self-repair capabilities. The BioWall is intended as a reconfigurable computing tissue, capable of interacting with its environment by means of a large number of touch-sensitive elements coupled with a color display. For illustrative purposes, a large-scale implementation of the BioWatch on the BioWall's computational tissue is presented. We conclude the paper with a description of bio-inspired computing tissues and POEtic machines.

Item Type: Article
Institution: The University of York
Academic Units: The University of York > Electronics (York)
Depositing User: York RAE Import
Date Deposited: 14 Aug 2009 14:07
Last Modified: 14 Aug 2009 14:07
Published Version: http://dx.doi.org/10.1016/S0303-2647(02)00100-4
Status: Published
Publisher: Elsevier Science B.V.
Identification Number: 10.1016/S0303-2647(02)00100-4
URI: http://eprints.whiterose.ac.uk/id/eprint/5691

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