Efficient Computation of Argumentation Semantics

1st Edition

Authors: Beishui Liao
Hardcover ISBN: 9780124104068
eBook ISBN: 9780124104518
Imprint: Academic Press
Published Date: 14th January 2014
Page Count: 148
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Description

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

Readership

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

Table of Contents

Preface

Chapter 1. Introduction

Abstract

1.1 Background

1.2 The Notion of Argumentation

1.3 Motivations of this Book

1.4 The Structure of this Book

References

Chapter 2. Semantics of Argumentation

Abstract

2.1 Introduction

2.2 Abstract Argumentation Frameworks

2.3 Argumentation Semantics

2.4 Conclusions

References

Chapter 3. Existing Approaches for Computing Argumentation Semantics

Abstract

3.1 Introduction

3.2 Approaches Based on Answer Set Programming

3.3 Labelling-Based Algorithms

3.4 Conclusions

References

Chapter 4. Sub-Frameworks and Local Semantics

Abstract

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

References

Chapter 5. Relations between Global Semantics and Local Semantics

Abstract

5.1 Introduction

5.2 Mapping Global Semantics to Local Semantics

5.3 Mapping Local Semantics to Global Semantics

5.4 Conclusions

References

Chapter 6. An Approach for Static Argumentation Frameworks

Abstract

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

References

Chapter 7. An Approach for Dynamic Argumentation Frameworks

Abstract

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

References

Chapter 8. An Approach for

Details

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

About the Author

Beishui Liao

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