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Books > Computing & IT > Applications of computing > Artificial intelligence
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Research and Development in Intelligent Systems XXIV - Proceedings of AI-2007, The Twenty-seventh SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (Paperback, 2008 ed.)
Loot Price: R5,740
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Research and Development in Intelligent Systems XXIV - Proceedings of AI-2007, The Twenty-seventh SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (Paperback, 2008 ed.)
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An agent in a multi-agent system (MAS) has to generate plans for
its individual goal, but these plans may con?ict with those that
are already being scheduled or executed by other agents. It must
also be able to complete its planning and resolution of these
con?icts within a reasonable time to have an acceptable quality
plan. Although we adopt hierarchical planning (HP, for example, see
[7, 12]) using the decision-theoretic planning (DTP) approach [6]
for ef?cient planning, it is not trivial to apply HPO to MAS. In
HP, appropriate (abstract) plans are selected level by level to
maximize the utility U (p), where where p is the expected ?nal plan
comprising a sequence of primitive actions. However, in the MAS
context, con?icts between agents affect the ef?ciency and quality
of resulting plans. When a con?ict is found at lower levels, an
additional sophisticated process for avoiding it (con?ict
resolution) must be invoked and some extra actions (such as waiting
for synchronization and detouring) may have to be added to the
plan. The con?ict resolution process may become costly or fail.
Even a single con?ict, if it is dif?cult to resolve, will result in
a plan with considerably lower quality than it otherwise would
have. As a result, in multi-agent systems, the second- or
third-best plans may result in better overall performance.
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