Efficient Computation of Argumentation Semantics

Download or Read online Efficient Computation of Argumentation Semantics full in PDF, ePub and kindle. This book written by Beishui Liao and published by Academic Press which was released on 27 December 2013 with total pages 148. We cannot guarantee that Efficient Computation of Argumentation Semantics book is available in the library, click Get Book button to download or read online books. Join over 650.000 happy Readers and READ as many books as you like.

Efficient Computation of Argumentation Semantics
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Publisher : Academic Press
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ISBN : 9780124104518
Pages : 148 pages
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Efficient 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

Efficient Computation of Argumentation Semantics

Efficient 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

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