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Efficient computation of argumentation semantics /
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 t...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Oxford :
Academic Press,
2014.
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| Colección: | Intelligent systems series.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- Half Title; Editorial Page; Title Page; Copyright; Contents; Preface; 1 Introduction; 1.1 Background; 1.2 The Notion of Argumentation; 1.3 Motivations of this Book; 1.4 The Structure of this Book; References; 2 Semantics of Argumentation; 2.1 Introduction; 2.2 Abstract Argumentation Frameworks; 2.3 Argumentation Semantics; 2.3.1 Extension-based Approach; 2.3.1.1 Admissible Extension; 2.3.1.2 Complete Extension; 2.3.1.3 Grounded Extension and Preferred Extension; 2.3.1.4 Stable Extension and Semi-Stable Extension; 2.3.1.5 Ideal Extension and Eager Extension; 2.3.2 Labelling-based Approach.
- 2.3.2.1 Admissible Labelling2.3.2.2 Complete Labelling; 2.3.2.3 Grounded Labelling and Preferred Labelling; 2.3.2.4 Stable Labelling and Semi-Stable Labelling; 2.3.2.5 Ideal Labelling and Eager Labelling; 2.3.3 Relations Between the Two Approaches; 2.3.4 Relations Between Different Semantics; 2.3.5 Status of Arguments; 2.4 Conclusions; References; 3 Existing Approaches for Computing Argumentation Semantics; 3.1 Introduction; 3.2 Approaches Based on Answer Set Programming; 3.2.1 Answer Set Programming; 3.2.1.1 Syntax; 3.2.1.2 Answer Set Semantics; 3.2.2 ASP for Argumentation.
- 3.3 Labelling-Based Algorithms3.3.1 The Computation of Grounded Labellings; 3.3.2 The Computation of Preferred Labellings; 3.3.2.1 Generating Admissible Labellings; 3.3.2.2 Generating Preferred Labellings; 3.4 Conclusions; References; 4 Sub-Frameworks and Local Semantics; 4.1 Introduction; 4.2 Notion of Sub-Frameworks; 4.2.1 Informal Idea; 4.2.2 Formal Definition; 4.2.3 Dependence Relation Between Different Sub-Frameworks; 4.3 Semantics of Sub-Frameworks; 4.3.1 Labellings of a Conditioned Sub-Framework; 4.3.2 Extensions of a Conditioned Sub-Framework.
- 4.4 Computation of the Semantics of a Sub-Framework4.5 Conclusions; References; 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; 5.3.1 Combining Extensions of Two Unconditioned Sub-Frameworks; 5.3.2 Combining Extensions of a Conditioned Sub-Framework and Those of an Unconditioned Sub-Framework; 5.3.3 Combining Labellings of Two Conditioned Sub-Frameworks; 5.4 Conclusions; References; 6 An Approach for Static Argumentation Frameworks; 6.1 Introduction.
- 6.2 Decomposing an Argumentation Framework: A Layered Approach6.2.1 Strongly Connected Components of an Argumentation Framework; 6.2.2 A Decomposition Approach Based on SCCs; 6.3 An Incremental Approach to Compute Argumentation Semantics; 6.3.1 The Computation of Layer i (); 6.3.1.1 Constructing Partially Labelled Sub-Frameworks in Layer i (); 6.3.1.2 Computing the Labellings of Each Sub-Framework in Layer i (); 6.3.1.3 Horizontally Combining the Labellings of Layer i (); 6.3.1.4 Vertically Combining the Labellings of Layers from 0 to i ().