000 | 04164nam a22005415i 4500 | ||
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001 | 978-3-030-38561-3 | ||
003 | DE-He213 | ||
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007 | cr nn 008mamaa | ||
008 | 200325s2020 sz | s |||| 0|eng d | ||
020 |
_a9783030385613 _9978-3-030-38561-3 |
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024 | 7 |
_a10.1007/978-3-030-38561-3 _2doi |
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050 | 4 | _aQA76.76.E95 | |
050 | 4 | _aQ387-387.5 | |
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_aUYQE _2bicssc |
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_a006.33 _223 |
245 | 1 | 0 |
_aKnowledge Engineering Tools and Techniques for AI Planning _h[electronic resource] / _cedited by Mauro Vallati, Diane Kitchin. |
250 | _a1st ed. 2020. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2020. |
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300 |
_aVIII, 277 p. 97 illus., 53 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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505 | 0 | _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.-. | |
520 | _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. | ||
650 | 0 | _aExpert systems (Computer science). | |
650 | 0 | _aKnowledge management. | |
650 | 0 | _aData mining. | |
650 | 1 | 4 | _aKnowledge Based Systems. |
650 | 2 | 4 | _aKnowledge Management. |
650 | 2 | 4 | _aData Mining and Knowledge Discovery. |
700 | 1 |
_aVallati, Mauro. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aKitchin, Diane. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783030385606 |
776 | 0 | 8 |
_iPrinted edition: _z9783030385620 |
776 | 0 | 8 |
_iPrinted edition: _z9783030385637 |
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-38561-3 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
942 | _cSPRINGER | ||
999 |
_c175693 _d175693 |