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Argumentation in Artificial Intelligence

Publisher: Springer US, 2009.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:

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  Read more...

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Genre/Form: Electronic books
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
ISBN: 9780387981970 0387981977
OCLC Number: 437808903
Notes: Visionné le 4 août 2009.
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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