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Planning / STRIPS / Mind / Artificial intelligence / Automated planning and scheduling / Partial-order planning


Partial-Order Planning: Evaluating Possible Eciency Gains
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Document Date: 2011-10-18 13:08:50

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File Size: 505,48 KB

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Company

Xerox corporation / /

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Facility

Engineering University of Washington / /

IndustryTerm

erent search spaces / distinct search spaces / transportation / plan-state search / partial-order algorithm / linear algorithms / totalorder algorithm / transportation scheduling world / search problem / search space dependent / partial-order planning algorithm / search space / erent planning algorithms / /

Organization

National Science Foundation / Department of Computer Science / University of Washington / Seattle / /

Person

James Hendler / Josh Tenenberg / Mike Williamson / Edwin Pednault / Brian Williams / Rao Kambhampati / Oren Etzioni / Craig Knoblock / Daniel S. Weld / Steven Soderland / Paul Cohen / Steve Hanks / Ernest Davis / Ying Sun / David McAllester / Steve Minton / /

Position

equivalent partial-order planner / second planner / planner / causal-link planner / " or TOCL / propositional planner / /

ProgrammingLanguage

Common Lisp / /

ProvinceOrState

Washington / /

Technology

partial-order planning algorithm / 2 Causal-Link Algorithms / 6 1.1 Algorithms / three algorithms / 1.1 Algorithms / 0 1 0 0 1 1 2.2 Algorithms / artificial intelligence / 2.2 Algorithms / erent planning algorithms / 1 Prior Insertion Algorithm / partial-order algorithm / three planning algorithms / totalorder algorithm / /

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