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.


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.

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Bibtex Record

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 = {},
    publication_type = {techreport},
    submission_id = {11728_1046267025},
    institution = {University of Wales, Aberystwyth},
    number = {UWA-DCS-03-043},

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