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Automated planning and scheduling / Philosophy of language / Philosophical logic / Propositional calculus / Mathematical logic / Planning Domain Definition Language / Symbol grounding / Abuse of notation / STRIPS / Logic / Philosophy / Linguistics


Constructing Symbolic Representations for High-Level Planning George Konidaris, Leslie Pack Kaelbling and Tomas Lozano-Perez MIT Computer Science and Artificial Intelligence Laboratory 32 Vassar Street, Cambridge MA 0213
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Document Date: 2014-04-21 16:38:49


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Company

SRI International / Neural Information Processing Systems / Autonomous Systems / Kraft / MIT Press / McDermott / Russell / Discrete Event Dynamic Systems / /

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Facility

University of Massachusetts Amherst / Hall et al. / /

IndustryTerm

few systems / heuristic search / accuracy solutions / i5 processor / robot systems / large search space / data mining software / search problem / /

MarketIndex

Russell 2010 / /

Organization

National Science Foundation / Department of Computer Science / Singapore-MIT International Design Center / MIT / Artificial Copyright Intelligence / Yale Center for Computational Vision and Control / Articial Intelligence / University of Massachusetts Amherst / Association for the Advancement / Singapore Ministry of Education / /

Person

Greg Lewis / Leslie Pack Kaelbling / Tomas Lozano-Perez / Siddharth Srivastava / George Konidaris / Morgan Kaufmann / /

Position

author / subsequent controller / sample-based SMDP planner / naive planner / representative / FF planner / discrete model for planning / planner / breadthfirst symbol algebra planner / human designer / Dean / controller / feedback motion planner / /

ProgrammingLanguage

Java / /

PublishedMedium

Machine Learning / Journal of Machine Learning Research / Journal of Artificial Intelligence Research / /

Technology

RAM / resulting algorithm / artificial intelligence / Java / i5 processor / data mining / Machine learning / intelligent agent / PDF / /

URL

www.aaai.org / /

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