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Argumentation in Artificial Intelligence

  • Book
  • © 2009

Overview

Editors:
  1. Guillermo Simari
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    You can also search for this editor in PubMed   Google Scholar

  2. Iyad Rahwan
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    You can also search for this editor in PubMed   Google Scholar

  • A confluence of deep exposition and comprehensive exploration by leading researchers of the underlying themes in the various areas of Argumentation in Artificial Intelligence
  • A progressive development of intuitions, ideas and techniques, starting from philosophical backgrounds, to abstract argument systems, to computing arguments
  • Hot topics on argumentation in multi-agent systems, including examples
  • Includes supplementary material: sn.pub/extras

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Table of contents (23 chapters)

  1. Front Matter

    Pages i-xi
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  2. Argumentation Theory: A Very Short Introduction

    • Douglas Walton
    Pages 1-22

  3. Abstract Argument Systems

    1. Front Matter

      Pages 23-23
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    2. Semantics of Abstract Argument Systems

      • Pietro Baroni, Massimiliano Giacomin
      Pages 25-44

    3. Abstract Argumentation and Values

      • Trevor Bench-Capon, Katie Atkinson
      Pages 45-64

    4. Bipolar abstract argumentation systems

      • Claudette Cayrol, Marie-Christine Lagasquie-Schiex
      Pages 65-84

    5. Complexity of Abstract Argumentation

      • Paul E. Dunne, Michael Wooldridge
      Pages 85-104

    6. Proof Theories and Algorithms for Abstract Argumentation Frameworks

      • Sanjay Modgil, Martin Caminada
      Pages 105-129

  4. Arguments with Structure

    1. Front Matter

      Pages 131-131
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    2. Argumentation Based on Classical Logic

      • Philippe Besnard, Anthony Hunter
      Pages 133-152

    3. Argument-based Logic Programming

      • Alejandro J. García, Jürgen Dix, Guillermo R. Simari
      Pages 153-171

    4. A Recursive Semantics for Defeasible Reasoning

      • John L. Pollock
      Pages 173-197

    5. Assumption-Based Argumentation

      • Phan Minh Dung, Robert A. Kowalski, Francesca Toni
      Pages 199-218

    6. The Toulmin Argument Model in Artificial Intelligence

      • Bart Verheij
      Pages 219-238

    7. Proof Burdens and Standards

      • Thomas F. Gordon, Douglas Walton
      Pages 239-258

  5. Argumentation in Multi-Agent Systems

    1. Front Matter

      Pages 259-259
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    2. Dialogue Games for Agent Argumentation

      • Peter McBurney, Simon Parsons
      Pages 261-280

    3. Models of Persuasion Dialogue

      • Henry Prakken
      Pages 281-300

    4. Argumentation for Decision Making

      • Leila Amgoud
      Pages 301-320

    5. Argumentation and Game Theory

      • Iyad Rahwan, Kate Larson
      Pages 321-339
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Keywords

About this book

Argumentation is all around us. Letters to the Editor often make points of cons- tency, and “Why” is one of the most frequent questions in language, asking for r- sons behind behaviour. And argumentation is more than ‘reasoning’ in the recesses of single minds, since it crucially involves interaction. It cements the coordinated social behaviour that has allowed us, in small bands of not particularly physically impressive primates, to dominate the planet, from the mammoth hunt all the way up to organized science. This volume puts argumentation on the map in the eld of Arti cial Intelligence. This theme has been coming for a while, and some famous pioneers are chapter authors, but we can now see a broader systematic area emerging in the sum of topics and results. As a logician, I nd this intriguing, since I see AI as ‘logic continued by other means’, reminding us of broader views of what my discipline is about. Logic arose originally out of re ection on many-agent practices of disputation, in Greek Ant- uity, but also in India and China. And logicians like me would like to return to this broader agenda of rational agency and intelligent interaction. Of course, Aristotle also gave us a formal systems methodology that deeply in uenced the eld, and eventually connected up happily with mathematical proof and foundations.

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