Transforming Stand-alone Expert Systems into a Community of Cooperating Agents


Jennings, N. R., Varga, L. Z., Aarnts, R. P., Fuchs, J. and Skarek, P. (1993) Transforming Stand-alone Expert Systems into a Community of Cooperating Agents. Int. Journal of Engineering Applications of Artificial Intelligence, 6, (4), 317-331.

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Description/Abstract

Distributed Artificial Intelligence (DAI) systems in which multiple problem solving agents cooperate to achieve a common objective is a rapidly emerging and promising technology. However, as yet, there have been relatively few reported cases of such systems being employed to tackle real-world problems in realistic domains. One of the reasons for this is that DAI researchers have given virtually no consideration to the process of incorporating pre-existing systems into a community of cooperating agents. Yet reuse is a primary consideration for any organisation with a large software base. To redress the balance, this paper reports on an experiment undertaken at the CERN laboratories in which two pre-existing and standalone expert systems for diagnosing faults in a particle accelerator were transformed into a community of cooperating agents. The experiences and insights gained during this process provide a valuable first step towards satisfying the needs of potential users of DAI technology - identifying the types of changes required for cooperative problem solving, quantifying the effort involved in transforming standalone systems to ones suitable for cooperation and highlighting the benefits of a cooperating systems approach in a realistic industrial application.

Item Type: Article
Keywords: Distributed Artificial Intelligence, Multi-Agent Systems, Cooperating Expert Systems, Fault Diagnosis, Particle Accelerator Control.
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Agents, Interactions & Complexity
ePrint ID: 252092
Date Deposited: 13 Dec 1999
Last Modified: 27 Mar 2014 19:54
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/252092

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