Efficient Computation of Argumentation Semantics

Efficient Computation of Argumentation Semantics

1st Edition - December 27, 2013

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  • Author: Beishui Liao
  • Hardcover ISBN: 9780124104068
  • eBook ISBN: 9780124104518

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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.

Key Features

  • 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


Electrical and Electronic Engineers; Mechanical Engineers; Computer Engineers; Intelligent Systems specialists.

Table of Contents

  • Preface

    Chapter 1. Introduction


    1.1 Background

    1.2 The Notion of Argumentation

    1.3 Motivations of this Book

    1.4 The Structure of this Book


    Chapter 2. Semantics of Argumentation


    2.1 Introduction

    2.2 Abstract Argumentation Frameworks

    2.3 Argumentation Semantics

    2.4 Conclusions


    Chapter 3. Existing Approaches for Computing Argumentation Semantics


    3.1 Introduction

    3.2 Approaches Based on Answer Set Programming

    3.3 Labelling-Based Algorithms

    3.4 Conclusions


    Chapter 4. Sub-Frameworks and Local Semantics


    4.1 Introduction

    4.2 Notion of Sub-Frameworks

    4.3 Semantics of Sub-Frameworks

    4.4 Computation of the Semantics of a Sub-Framework

    4.5 Conclusions


    Chapter 5. Relations between Global Semantics and Local Semantics


    5.1 Introduction

    5.2 Mapping Global Semantics to Local Semantics

    5.3 Mapping Local Semantics to Global Semantics

    5.4 Conclusions


    Chapter 6. An Approach for Static Argumentation Frameworks


    6.1 Introduction

    6.2 Decomposing an Argumentation Framework: A Layered Approach

    6.3 An Incremental Approach to Compute Argumentation Semantics

    6.4 Empirical Evaluation

    6.5 Conclusions


    Chapter 7. An Approach for Dynamic Argumentation Frameworks


    7.1 Introduction

    7.2 The Changing of an Argumentation Framework

    7.3 The Division of an Updated Argumentation Framework

    7.4 Computing the Semantics of an Updated Argumentation Framework Based on the Division

    7.5 An Illustrating Example

    7.6 Conclusions


    Chapter 8. An Approach for Partial Semantics of Argumentation


    8.1 Introduction

    8.2 The Definition of Partial Semantics of Argumentation

    8.3 Basic Properties of Partial Semantics of Argumentation

    8.4 Empirical Investigation

    8.5 Conclusions


    Chapter 9. Conclusions and Future Work


    9.1 Conclusion

    9.2 Future Work



Product details

  • No. of pages: 148
  • Language: English
  • Copyright: © Academic Press 2014
  • Published: December 27, 2013
  • Imprint: Academic Press
  • Hardcover ISBN: 9780124104068
  • eBook ISBN: 9780124104518

About the Author

Beishui Liao

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

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