LEADER 04391nam 22005655 450 001 996465454503316 005 20220322181423.0 010 $a3-030-38561-2 024 7 $a10.1007/978-3-030-38561-3 035 $a(CKB)4100000010770988 035 $a(DE-He213)978-3-030-38561-3 035 $a(MiAaPQ)EBC6146451 035 $a(PPN)243228953 035 $a(EXLCZ)994100000010770988 100 $a20200325d2020 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aKnowledge Engineering Tools and Techniques for AI Planning$b[electronic resource] /$fedited by Mauro Vallati, Diane Kitchin 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (VIII, 277 p. 97 illus., 53 illus. in color.) 311 $a3-030-38560-4 320 $aIncludes bibliographical references. 327 $aPreface -- 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.-. 330 $aThis book presents a comprehensive review for Knowledge Engineering tools and techniques that can be used in Artificial Intelligence Planning and Scheduling. KE tools can be used to aid in the acquisition of knowledge and in the construction of domain models, which this book will illustrate. AI planning engines require a domain model which captures knowledge about how a particular domain works - e.g. the objects it contains and the available actions that can be used. However, encoding a planning domain model is not a straightforward task - a domain expert may be needed for their insight into the domain but this information must then be encoded in a suitable representation language. The development of such domain models is both time-consuming and error-prone. Due to these challenges, researchers have developed a number of automated tools and techniques to aid in the capture and representation of knowledge. This book targets researchers and professionals working in knowledge engineering, artificial intelligence and software engineering. Advanced-level students studying AI will also be interested in this book. 606 $aKnowledge representation (Information theory)  606 $aKnowledge management 606 $aData mining 606 $aKnowledge based Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I21030 606 $aKnowledge Management$3https://scigraph.springernature.com/ontologies/product-market-codes/515030 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 615 0$aKnowledge representation (Information theory) . 615 0$aKnowledge management. 615 0$aData mining. 615 14$aKnowledge based Systems. 615 24$aKnowledge Management. 615 24$aData Mining and Knowledge Discovery. 676 $a006.3 702 $aVallati$b Mauro$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKitchin$b Diane$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996465454503316 996 $aKnowledge Engineering Tools and Techniques for AI Planning$92257608 997 $aUNISA