Efficient Computation of Argumentation Semantics

Efficient Computation of Argumentation Semantics

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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.
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Product details

  • Hardback | 148 pages
  • 193.04 x 238.76 x 17.78mm | 476.27g
  • Academic Press Inc
  • San Diego, United States
  • English
  • Illustrated; Illustrations, unspecified
  • 0124104061
  • 9780124104068

Table of contents

Argumentation semantics and their computation: An introduction
Computing the semantics of dynamic argumentation systems: A division based approach
Computing the semantics of static argumentation systems: A partition based approach
Computing the partial semantics of argumentation: A localized approach
Conclusions and future work

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About Beishui Liao

Associate Professor in the Centre for the Study of Language Cognition, Zhejiang University, China
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