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KE ROADMAP. Lee McCluskey University of Huddersfield. DEFINITION. Knowledge Engineering (KE) in AI Planning is the process that deals with the acquisition, validation and maintenance of planning domain models, and the
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KE ROADMAP Lee McCluskey University of Huddersfield
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
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
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
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