Argumentation in Artificial Intelligence

  • Guillermo Simari
  • Iyad Rahwan

Table of contents

  1. Front Matter
    Pages i-xi
  2. Abstract Argument Systems

    1. Front Matter
      Pages 23-23
    2. Pietro Baroni, Massimiliano Giacomin
      Pages 25-44
    3. Trevor Bench-Capon, Katie Atkinson
      Pages 45-64
    4. Claudette Cayrol, Marie-Christine Lagasquie-Schiex
      Pages 65-84
    5. Paul E. Dunne, Michael Wooldridge
      Pages 85-104
    6. Sanjay Modgil, Martin Caminada
      Pages 105-129
  3. Arguments with Structure

    1. Front Matter
      Pages 131-131
    2. Philippe Besnard, Anthony Hunter
      Pages 133-152
    3. Alejandro J. García, Jürgen Dix, Guillermo R. Simari
      Pages 153-171
    4. John L. Pollock
      Pages 173-197
    5. Phan Minh Dung, Robert A. Kowalski, Francesca Toni
      Pages 199-218
    6. Thomas F. Gordon, Douglas Walton
      Pages 239-258
  4. Argumentation in Multi-Agent Systems

    1. Front Matter
      Pages 259-259
    2. Peter McBurney, Simon Parsons
      Pages 261-280
    3. Henry Prakken
      Pages 281-300
    4. Leila Amgoud
      Pages 301-320
    5. Iyad Rahwan, Kate Larson
      Pages 321-339

About this book

Introduction

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.

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

Editors and affiliations

  • Guillermo Simari
  • Iyad Rahwan

There are no affiliations available

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-387-98197-0
  • Copyright Information Springer-Verlag US 2009
  • Publisher Name Springer, Boston, MA
  • eBook Packages Computer Science
  • Print ISBN 978-0-387-98196-3
  • Online ISBN 978-0-387-98197-0
  • About this book