Skip to main content

Once More Unto the Breach: Towards Artificial Homeostasis?

Neal, Mark and Timmis, Jon (2005) Once More Unto the Breach: Towards Artificial Homeostasis? In: de Castro, Leandro N. and von Zuben, F.J., eds. Recent Developments in Biologically Inspired Computing. Idea Group, pp. 340-365. ISBN 1-59140-313-8. (KAR id:14382)

Language: English
Download (392kB) Preview
[thumbnail of ArtMark.pdf]
This file may not be suitable for users of assistive technology.
Request an accessible format


The field of biologically inspired computing has generated many novel, interesting and useful computational systems. None of these systems alone is capable of approaching the level of behaviour for which the artificial intelligence and robotics communities strive. We suggest that it is now time to move on to integrating a number of these approaches in a biologically justifiable way. To this end we present a conceptual 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 chapter proposes a system, which promises to capitalise on the self-organising 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. A case study is presented, in which aspects of the nervous and endocrine systems are exploited to create a simple robot controller. Mechanisms for the moderation of system growth using an artificial immune system are also presented.

Item Type: Book section
Uncontrolled keywords: neural networks, endocrine systems, immune systems, homeostasis, autonomous robot control
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 18:03 UTC
Last Modified: 16 Feb 2021 12:25 UTC
Resource URI: (The current URI for this page, for reference purposes)
  • Depositors only (login required):


Downloads per month over past year