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Abstract: Intelligent agents and active databases have a number of common characteristics, the most important of which is that they both execute actions by firing rules upon events occuring provided certain conditions hold. This paper assumes that the knowledge of an intelligent agent is expressed using a set of active rules and proposes a method for optimising the rule-base of such an agent using a Genetic Algorithm. We illustrate the applicability of this method by using it to optimise the performance... (Update)
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BibTeX entry: (Update)
@inproceedings{ nonas98optimisation,
author = "Evaggelos Nonas and Alexandra Poulovassilis",
title = "Optimisation of Active Rule Agents Using a Genetic Algorithm Approach",
booktitle = "Database and Expert Systems Applications",
pages = "332-341",
year = "1998",
url = "citeseer.ist.psu.edu/43758.html" }
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588 Handbook of Genetic Algorithms (context) - Davis - 1991
260 BDI agents: from theory to practice - Rao, Georgeff - 1995
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18 A pragmatic BDI architecture (context) - Fischer, Muller et al. - 1996
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