Saltar al contenido principal

Efficient Computation of Argumentation Semantics

  • 1 Edición - 27 de diciembre de 2013
  • Última edición
  • Autor: Beishui Liao
  • Idioma: Inglés

Efficient Computation of Argumentation Semantics addresses argumentation semantics and systems, introducing readers to cutting-edge decomposition methods that drive increasin… Leer más

Descripción

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.

Puntos claves

  • 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

De interès para

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

Índice

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 Partial Semantics of Argumentation

Abstract

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

References

Chapter 9. Conclusions and Future Work

Abstract

9.1 Conclusion

9.2 Future Work

References

Index

Detalles del producto

  • Edición: 1
  • Última edición
  • Publicado: 14 de enero de 2014
  • Idioma: Inglés

Sobre el autor

BL

Beishui Liao

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

Ver libro en ScienceDirect

Lee Efficient Computation of Argumentation Semantics en ScienceDirect