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Argumentation in Artificial Intelligence

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

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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