School of Computing

Artificial Homeostasis: Integrating Biologically Inspired Computing

J Timmis and M Neal

Technical Report UWA-DCS-03-043, University of Wales, Aberystwyth, February 2003.

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.

Download publication 155 kbytes (PDF)

Bibtex Record

@techreport{1586,
author = {J Timmis and M Neal},
title = {{Artificial Homeostasis: Integrating Biologically Inspired Computing}},
month = {February},
year = {2003},
pages = {182-196},
keywords = {determinacy analysis, Craig interpolants},
note = {},
doi = {},
url = {http://www.cs.kent.ac.uk/pubs/2003/1586},
    publication_type = {techreport},
    submission_id = {11728_1046267025},
    institution = {University of Wales, Aberystwyth},
    number = {UWA-DCS-03-043},
}

School of Computing, University of Kent, Canterbury, Kent, CT2 7NF

Enquiries: +44 (0)1227 824180 or contact us.

Last Updated: 21/03/2014