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Knowledge Engineering in AI Planning: Overview and Tools

Explore the nature of Knowledge Engineering (KE) for Planning, including related areas like KBS, Semantic Web, and Machine Learning. Discover KE support tools and taxonomy of planning methods. Improve planning domain models effectively.

fredericka-kelley
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Knowledge Engineering in AI Planning: Overview and Tools

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  1. KE ROADMAP Lee McCluskey University of Huddersfield

  2. DEFINITION Knowledge Engineering (KE) in AI Planning is the process that deals with the acquisition, validation and maintenance of planning domain models, and the selection and optimization of appropriate planning machinery to work on them. Review Meeting, Rome, 8. Nov. 2002, S. Biundo

  3. CONTENTS • Nature of KE for Planning / Introduction • Related Areas • KBS • Semantic Web and Planning Ontologies • Formal Methods in SE • Domain Analysis • Machine Learning 3. KE Support Tools and Environments 4. Knowledge Bases and Representation 5. Taxonomy of Planning Methods 6. Summary of Actions Review Meeting, Rome, 8. Nov. 2002, S. Biundo

  4. New Sections Three new sections • Semantic Web and Ontologies • KE fom a KBS perspective • KE in AI Planning: an experience report from a knowledge engineer Review Meeting, Rome, 8. Nov. 2002, S. Biundo

  5. Plan • What is left out? • What needs changing? • What needs re-arranging? In the next few weeks: We need to get it evaluated by some outside expert Later: We need to get it properly published Review Meeting, Rome, 8. Nov. 2002, S. Biundo

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