Automatically selecting and using primary effects in planning: Theory and experiments.

DOI10.1016/S0004-3702(96)00020-3zbMath1042.68670DBLPjournals/ai/FinkY97WikidataQ59679096 ScholiaQ59679096MaRDI QIDQ1399131

Eugene Fink, Qiang Yang

Publication date: 30 July 2003

Published in: Artificial Intelligence (Search for Journal in Brave)

zbMATH Keywords

PAC learningmachine learningPlanningpartial-order planningprimary effects

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Uses Software

• Prodigy
• UCPOP

Cites Work

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• Planning for conjunctive goals
• Occam's razor
• Partial-order planning: Evaluating possible efficiency gains
• Automatically generating abstractions for planning
• STRIPS: A new approach to the application of theorem proving to problem solving
• A theory of the learnable
• Integrating planning and learning: the PRODIGY architecture

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