Argumentation in Artificial Intelligence (eBook)

Iyad Rahwan (Herausgeber)

eBook Download: PDF

2009 | 2009
XIII, 493 Seiten
Springer US (Verlag)
978-0-387-98197-0 (ISBN)

Infos

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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Argumentation is all around us. Letters to the Editor often make points of cons- tency, and "e;Why"e; 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.

Inhalt

Foreword 6
Preface 8
Contents 10
Argumentation Theory: A Very Short Introduction 13
Part I Abstract Argument Systems 35
Semantics of Abstract Argument Systems 36
Abstract Argumentation and Values 56
Bipolar abstract argumentation systems 76
Complexity of Abstract Argumentation 96
Proof Theories and Algorithms for Abstract Argumentation Frameworks 116
Part II Arguments with Structure 141
Argumentation Based on Classical Logic 142
Argument-based Logic Programming 162
A Recursive Semantics for Defeasible Reasoning 181
Assumption-Based Argumentation 206
The Toulmin Argument Model in Artificial Intelligence 226
Proof Burdens and Standards 246
Part III Argumentation in Multi-Agent Systems 266
Dialogue Games for Agent Argumentation 267
Models of Persuasion Dialogue 287
Argumentation for Decision Making 307
Argumentation and Game Theory 327
Belief Revision and Argumentation Theory 346
Part IV Applications 366
Argumentation in Legal Reasoning 367
The Argument Interchange Format 387
Empowering Recommendation Technologies Through Argumentation 407
Arguing on the Semantic Grid 427
Towards Probabilistic Argumentation 446
Argument-Based Machine Learning 466
Description Logic 486
Bayesian Networks 488
Index 490

Produkt-Details

• Erscheint lt. Verlag: 13.6.2009
• Zusatzinfo: XIII, 493 p.
• Verlagsort: New York
• Sprache: englisch
• Themenwelt: Geisteswissenschaften
• Themenwelt: Mathematik / Informatik ► Informatik ► Programmiersprachen / -werkzeuge
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Mathematik / Informatik ► Mathematik
• Themenwelt: Sozialwissenschaften ► Pädagogik
• Themenwelt: Technik
• Schlagworte: Agents • Argumentation • argumentation-supported systems • argument visualization • Artificial Intelligence • Autonomous Agents • Bayesian Network • description logic • Intelligence • learning • Logic Programming • machine learning • Modeling • multi-agent system • Semantics
• ISBN-10: 0-387-98197-7 / 0387981977
• ISBN-13: 978-0-387-98197-0 / 9780387981970