000 | 02649nam a22003257a 4500 | ||
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003 | ZW-GwMSU | ||
005 | 20201028103237.0 | ||
008 | 201016b ||||| |||| 00| 0 eng d | ||
020 | _a9780124104068 | ||
040 |
_bEnglish _cMSU _erda |
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041 | _aeng | ||
050 | _aP98 LIA | ||
100 | 1 |
_aLiao, Beishui _eauthor |
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245 | 1 | 0 |
_aEfficient Computation of Argumentation Semantics _ccreated by Beishui Liao |
264 | 1 |
_a[Hangzhou Shi] : _bZHEJIANG UNIVERSITY PRESS, _c2014. |
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300 |
_a137 pages : _billustrations ; _c25 cm. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_aunmediated _bn _2rdamedia |
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338 |
_avolume _bnc _2rdacarrier |
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490 | 0 | _aIntelligent Systems Series | |
500 | _a"ELSEVIER"--T.p. | ||
504 | _aIncludes bibliographical references and index. | ||
505 | _aChapter 1:Introduction, 2- Semantics of argumentation, 3- Existing approaches for computing argumentation semantics, 4- Sub-Frameworks and local semantics, 5- Relations between global semantics and local semantics, 6- An approach for static argumentation framework, 7- An approach for dynamic argumentation frameworks, 8 - An approach for partial semantics of argumentation, 9 -Conclusions and future work | ||
520 | _aEfficient Computation of Argumentation Semantics addresses argumentation semantics and systems, introducing readers to cutting-edge decomposition methods that drive increasingly efficient logic computation in AI and intelligent systems. Such complex and distributed systems are increasingly used in the automation and transportation systems field, and particularly autonomous systems, as well as more generic intelligent computation research. The Series in Intelligent Systems publishes titles that cover state-of-the-art knowledge and the latest advances in research and development in intelligent systems. Its scope includes theoretical studies, design methods, and real-world implementations and applications. The series publishes titles in three core sub-topic areas: intelligent automation, intelligent transportation systems, and intelligent computing. The first book to cover new methods for computing static, dynamic, and partial argumentation systems. Methods are applicable to development of systems and research areas in both AI and broader intelligent systems. Provides the AI and IS community with insight into the critical field of efficient computation, with a focus on intelligent automation, intelligent transportation systems, and intelligent computing | ||
600 | _2Beishui Liao. | ||
650 | 0 | _aSemantic computing | |
650 | 0 | _aArtificial intelligence | |
650 | 0 | _aEngineering | |
942 |
_2lcc _cB |
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999 |
_c155462 _d155462 |