| Abstract |
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It is important that intelligent agents are able to pursue
multiple goals in parallel, in a rational manner. This work
experimentally evaluates mechanisms presented previously
which allow agents to detect and deal with situations where
multiple goals conflict over limited resources. We describe
X-JACK, our extension to JACK, a state of the art agent development
toolkit. X-JACK incorporates an explicit structure
for goals and the reasoning to detect and classify resource
conflicts. We compare X-JACK to JACK experimentally,
under a range of situations designed to stress test the
conflict reasoning algorithms, as well as situations designed
to be more similar to real applications. We find that the
cost of the additional reasoning is small, even with large
numbers of conflicts to reason about. The benefit however
is noticeable, and is statistically significant, even when the
amount of conflict and parallelism is relatively small.
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 Additional Information
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Index Terms- Intelligent Agents, Resource conflicts
Citation:
John Thangarajah, Lin Padgham,
"An Empirical Evaluation of Reasoning about Resource Conflicts,"
aamas,
pp. 1298-1299,
Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3 (AAMAS'04),
2004
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