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Computer Science - Artificial Intelligence | Argumentation in Artificial Intelligence

Argumentation in Artificial Intelligence

Rahwan, Iyad (Ed.)

2009, XIII, 493 p.

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  • Offers a confluence of deep exposition and comprehensive exploration by leading researchers of the underlying themes in the various areas of Argumentation in Artificial Intelligence
  • Provides a progressive development of intuitions, ideas and techniques, starting from philosophical backgrounds and moving to abstract argument systems and to computing arguments
  • Covers hot topics on argumentation in multi-agent systems and includes examples

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 intuitions, ideas and techniques, from philosophical backgrounds, to abstract argument systems, to computing arguments, to the appearance of applications producing innovative results. Each chapter features extensive examples to ensure that readers develop the right intuitions before they move from one topic to another.

In particular, the book exhibits an overview of key concepts in Argumentation Theory and of formal models of Argumentation in AI. After laying a strong foundation by covering the fundamentals of argumentation and formal argument modeling, the book expands its focus to more specialized topics, such as algorithmic issues, argumentation in multi-agent systems, and strategic aspects of argumentation. Finally, as a coda, the book explores some practical applications of argumentation in AI and applications of AI in argumentation.

Argumentation in Artificial Intelligence is sure to become an essential resource for graduate students and researchers working in Autonomous Agents, AI and Law, Logic in Computer Science, Electronic Governance, and Multi-agent Systems. The book is suitable both as a comprehensive introduction to the field, and also as a highly organized and accessible reference for established researchers.

Content Level » Research

Keywords » Bayesian network - agents - argument visualization - argumentation - argumentation-supported systems - artificial intelligence - autonomous agents - description logic - intelligence - learning - logic programming - machine learning - modeling - multi-agent system - semantics

Related subjects » Artificial Intelligence - Computational Science & Engineering - General Issues - Information Systems and Applications - Theoretical Computer Science

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