Propositional, Probabilistic and Evidential Reasoning: Integrating Numerical and Symbolic Approaches by Weiru LiuPropositional, Probabilistic and Evidential Reasoning: Integrating Numerical and Symbolic Approaches by Weiru Liu

Propositional, Probabilistic and Evidential Reasoning: Integrating Numerical and Symbolic Approaches

byWeiru Liu

Paperback | October 21, 2010

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The book systematically provides the reader with a broad range of systems/research work to date that addresses the importance of combining numerical and symbolic approaches to reasoning under uncertainty in complex applications. It covers techniques on how to extend propositional logic to a probabilistic one and compares such derived probabilistic logic with closely related mechanisms, namely evidence theory, assumption-based truth maintenance systems and rough sets, in terms of representing and reasoning with knowledge and evidence.The book primarily addresses researchers, practitioners, students and lecturers in the field of Artificial Intelligence, particularly in the areas of reasoning under uncertainty, logic, knowledge representation and reasoning, and non-monotonic reasoning.
Title:Propositional, Probabilistic and Evidential Reasoning: Integrating Numerical and Symbolic ApproachesFormat:PaperbackDimensions:274 pagesPublished:October 21, 2010Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3790824933

ISBN - 13:9783790824933

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Table of Contents

Introduction.- Incidence Calculus.- Generalizing Incidence Calculus.- From Numerical to Symbolic Assignments.- Combining Multiple Pieces of Evidence.- Combining Multiple Pieces of Evidence.- The Dempster-Shafer Theory of Evidence.- A Comprehensive Comparison of Generalized Incidence Calculus and Dempster-Shafer Theory.- Assumption-Based Truth Maintenance Systems.- Relations Between Extended Incidence Calculus and Assumption-Based Truth Maintenance System.- Conclusion.