Argumentation in Artificial Intelligence
This volume is a systematic, expansive presentation of the major achievements in the intersection between two fields of inquiry: Argumentation Theory and Artificial Intelligence. Contributions from international researchers who have helped shape this dynamic area offer a progressive development of i...
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| Other Authors: | , |
| Format: | Electronic eBook |
| Language: | English |
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Boston, MA :
Springer US,
2009.
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| Edition: | First. |
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Abstract Argument Systems
- Semantics of Abstract Argument Systems
- Abstract Argumentation and Values
- Bipolar abstract argumentation systems
- Complexity of Abstract Argumentation
- Proof Theories and Algorithms for Abstract Argumentation Frameworks
- Argumentation Theory: A Very Short Introduction
- Arguments with Structure
- Argumentation Based on Classical Logic
- Argument-based Logic Programming
- A Recursive Semantics for Defeasible Reasoning
- Assumption-Based Argumentation
- The Toulmin Argument Model in Artificial Intelligence
- Proof Burdens and Standards
- Argumentation in Multi-Agent Systems
- Dialogue Games for Agent Argumentation
- Models of Persuasion Dialogue
- Argumentation for Decision Making
- Argumentation and Game Theory
- Belief Revision and Argumentation Theory
- Applications
- Argumentation in Legal Reasoning
- The Argument Interchange Format
- Empowering Recommendation Technologies Through Argumentation
- Arguing on the Semantic Grid
- Towards Probabilistic Argumentation
- Argument-Based Machine Learning.