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.
1. Chapter 1. Introduction - p. X 2. Chapter 2. Semantics of Argumentation - p. 8 3. Chapter 3. Existing Approaches for Computing Argumentation Semantics - p. 24 4. Chapter 4. Sub-Frameworks and Local Semantics - p. 34 5. Chapter 5. Relations between Global Semantics and Local Semantics - p. 49 6. Chapter 6. An Approach for Static Argumentation Frameworks - p. 68 7. Chapter 7. An Approach for Dynamic Argumentation Frameworks - p. 94 8. Chapter 8. An Approach for Partial Semantics of Argumentation - p. 111 9. Chapter 9. Conclusions and Future Work - p. 129 10. Index - p. 133
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.
1. Chapter 1. Introduction - p. X 2. Chapter 2. Semantics of Argumentation - p. 8 3. Chapter 3. Existing Approaches for Computing Argumentation Semantics - p. 24 4. Chapter 4. Sub-Frameworks and Local Semantics - p. 34 5. Chapter 5. Relations between Global Semantics and Local Semantics - p. 49 6. Chapter 6. An Approach for Static Argumentation Frameworks - p. 68 7. Chapter 7. An Approach for Dynamic Argumentation Frameworks - p. 94 8. Chapter 8. An Approach for Partial Semantics of Argumentation - p. 111 9. Chapter 9. Conclusions and Future Work - p. 129 10. Index - p. 133
