서지주요정보
Knowledge Engineering Tools and Techniques for AI Planning [electronic resource]
서명 / 저자 Knowledge Engineering Tools and Techniques for AI Planning [electronic resource] / edited by Mauro Vallati, Diane Kitchin.
저자명 Vallati, Mauro. editor. edt http://id.loc.gov/vocabulary/relators/edt ; Kitchin, Diane. editor. edt http://id.loc.gov/vocabulary/relators/edt
단체명 SpringerLink (Online service)
발행사항 Cham : Springer International Publishing : Imprint: Springer, 2020.
Online Access https://doi.org/10.1007/978-3-030-38561-3 URL

서지기타정보

서지기타정보
청구기호 Q387-387.5
판사항 1st ed. 2020.
형태사항 VIII, 277 p. 97 illus., 53 illus. in color. online resource.
언어 English
내용 Preface -- Part I: Knowledge Capture and Encoding -- 1. Explanation-based Learning of Action Models -- 2. Automated Domain Model Encoding tools for Planning -- 3. A Formal Knowledge Engineering Approach for Planning and Scheduling: Applications with itSIMPLE -- 4. MyPDDL: Tools for efficiently creating PDDL domains and problems -- 5. Planning.Domains: A Tool Suite for the Planning Researcher -- 6. Modelling Planning Tasks: Representation Matters -- Part II: Interaction, Visualisation, and Explanation -- 7. An Interactive Tool for Plan Generation, Inspection and Visualization -- 8. Interactive Visualization in Planning and Scheduling -- 9. Argument-based Plan Explanation -- 10. Interactive Planning-based Hypothesis Generation with LTS++ -- 11. Web Planner: A Tool to Develop, Visualize and Test Classical Planning Domains -- Part III: Case Studies and Applications -- 12. Design of Timeline-based Planning Systems for Safe Human-Robot Collaboration -- 13. Planning in a Real-world Application: An AUV Case Study -- 14. Knowledge Engineering and Planning for Social Human-Robot Interaction: A Case Study.-.
주제 Knowledge representation (Information theory) .
Knowledge management.
Data mining.
Knowledge based Systems. --https://scigraph.springernature.com/ontologies/product-market-codes/I21030
Knowledge Management. --https://scigraph.springernature.com/ontologies/product-market-codes/515030
Data Mining and Knowledge Discovery. --https://scigraph.springernature.com/ontologies/product-market-codes/I18030
보유판 및 특별호 저록 Springer Nature eBook
Printed edition: 9783030385606 Printed edition: 9783030385620 Printed edition: 9783030385637
ISBN 9783030385613
기타 표준번호 10.1007/978-3-030-38561-3
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