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Title:
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Width and complexity of belief tracking in non-deterministic conformant and contingent planning
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Author:
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Bonet, Blai; Geffner, Héctor
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Other authors:
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Bonet, Blai |
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Abstract:
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Comunicació presentada a: the 26th AAAI Conference on Artificial Intelligence, celebrada a Toronto, Canadà, del 22 al 26 de juliol de 2012 |
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Abstract:
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It has been shown recently that the complexity of belief
tracking in deterministic conformant and contingent
planning is exponential in a width parameter that is often
bounded and small. In this work, we introduce a
new width notion that applies to non-deterministic conformant
and contingent problems as well. We also develop
a belief tracking algorithm for non-deterministic
problems that is exponential in the problem width, analyze
the width of non-deterministic benchmarks, compare
the new notion to the previous one over deterministic
problems, and present experimental results. |
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Abstract:
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H. Geffner is partially supported by grants TIN2009-10232, MICINN, Spain, and EC-7PM SpaceBook. |
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Rights:
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© 2012, Association for the Advancement of Artificial Intelligence (www.aaai.org)
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Document type:
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Conference Object
Article - Accepted version |
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Published by:
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Association for the Advancement of Artificial Intelligence (AAAI)
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