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Planning as Heuristic Search for Incremental Fault Diagnosis and Repair Håkan Warnquist∗ and Jonas Kvarnström and Patrick Doherty Dept. of Computer and Information Science Linköping University SE[removed]Linköping,
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Document Date: 2012-01-19 08:49:14


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San Francisco / Nilsson / Williams / New York / /

Company

Cambridge University Press / Singh S. P. / Bayesian Networks / Morgan Kaufmann Publishers Inc. / Scania CV AB. / /

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Event

Product Issues / /

IndustryTerm

mechatronic systems / products integrating electronics / heuristic search / search space using composite actions / representative mechatronic systems / suboptimal partial solutions / n-step lookahead search / forward search / cyclic search graphs / search graph / oil cool / look-ahead search / coherent systems / larger search space / Suitable algorithms / oil / heuristic search algorithm / search space / search algorithms / /

Organization

Cambridge University / U.S Environmental Protection Agency / US Federal Reserve / Artificial Copyright Intelligence / Association for the Advancement / Swedish Foundation for Strategic Research / Center for Industrial Information Technology CENIIT / /

Person

Jonas Kvarnström / Patrick Doherty / /

Position

probabilistic planner / mechanic / simplified model for planning / filtered model / planning / representative / technician / classical planner / planner / simplified model for belief state prediction during planning / /

Product

at least one alarm / com / ends / components / /

ProvinceOrState

New Jersey / Newfoundland / British Columbia / /

PublishedMedium

Communications of the ACM / Journal of Artificial Intelligence Research / /

Technology

heuristic search algorithm / underlying search algorithms / 6.2 Search Algorithm / artificial intelligence / Information Technology / PKI / /

URL

www.aaai.org / www.epa.gov/obd / /

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