Argumentation in artificial intelligence
Author(s)
Bibliographic Information
Argumentation in artificial intelligence
Springer, c2009
Available at 5 libraries
Note
Includes bibliographical references and index
Description and Table of Contents
Description
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.
Table of Contents
Argumentation Theory: A Very Short Introduction.- Part I 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.- Part II 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.- Part III Argumentation in Multi-Agent Systems: Dialogue Games for Agent Argumentation.- Models of Persuasion Dialogue.- Argumentation in Decision Making.- Argumentation and Game Theory.- Belief Revision and Argumentation Theory.- Part IV 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.- Appendix A: Description Logic.- Appendix B: Bayesian Networks.- Index.
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