Timmis, J. and Neal, M. (2003) Artificial Homeostasis: Integrating Biologically Inspired Computing. Technical report. University of Kent
| The full text of this publication is not available from this repository. (Contact us about this Publication) | |
| Official URL http://www.cs.kent.ac.uk/pubs/2003/1586 |
Abstract
We present a framework which integrates artificial neural networks, artificial immune systems and a novel artificial endocrine system. The natural counterparts of these three components are usually assumed to be the principal actors in maintaining homeostasis within biological systems. This paper proposes a system which promises to capitalise on the self-organizing properties of these artificial systems to yield artificially homeostatic systems. The components develop in a common environment and interact in ways which draw heavily on their biological counterparts for inspiration.
| Item Type: | Monograph (Technical report) |
|---|---|
| Uncontrolled keywords: | Homeostasis, neural networks, endrocrine systems |
| Subjects: | Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, |
| Divisions: | Faculties > Science Technology and Medical Studies > School of Computing > Applied and Interdisciplinary Informatics Group |
| Depositing User: | Mark Wheadon |
| Date Deposited: | 24 Nov 2008 18:01 |
| Last Modified: | 19 Mar 2009 19:33 |
| Resource URI: | http://kar.kent.ac.uk/id/eprint/14007 (The current URI for this page, for reference purposes) |
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