Argumentation in Artificial Intelligence
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Argumentation in Artificial Intelligence

 eBook
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ISBN-13:
9780387981970
Veröffentl:
2009
Einband:
eBook
Seiten:
493
Autor:
Iyad Rahwan
eBook Typ:
PDF
eBook Format:
Reflowable eBook
Kopierschutz:
Digital Watermark [Social-DRM]
Sprache:
Englisch
Beschreibung:

This text reviews the foundational issues in argumentation and formal argument modeling before moving to more specialized topics such as algorithmic issues. It addresses practical applications of argumentation in AI and applications of AI in argumentation.

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.
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.
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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