Propositional, Probabilistic and Evidential Reasoning: Integrating Numerical and Symbolic Approaches
Author:   Weiru Liu
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   Softcover reprint of hardcover 1st ed. 2001
Volume:   77
ISBN:  

9783790824933


Pages:   274
Publication Date:   21 October 2010
Format:   Paperback
Availability:   In Print   Availability explained
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Propositional, Probabilistic and Evidential Reasoning: Integrating Numerical and Symbolic Approaches


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Overview

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.

Full Product Details

Author:   Weiru Liu
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Physica-Verlag GmbH & Co
Edition:   Softcover reprint of hardcover 1st ed. 2001
Volume:   77
Dimensions:   Width: 15.50cm , Height: 1.50cm , Length: 23.50cm
Weight:   0.450kg
ISBN:  

9783790824933


ISBN 10:   3790824933
Pages:   274
Publication Date:   21 October 2010
Audience:   Professional and scholarly ,  Professional and scholarly ,  Professional & Vocational ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1 Introduction.- 2 Incidence Calculus.- 3 Generalizing Incidence Calculus.- 4 From Numerical to Symbolic Assignments.- 5 Combining Multiple Pieces of Evidence.- 6 The Dempster-Shafer Theory of Evidence.- 7 A Comprehensive Comparison of Generalized Incidence Calculus and Dempster-Shafer Theory.- 8 Assumption-Based Truth Maintenance Systems.- 9 Relations Between Extended Incidence Calculus and Assumption-Based Truth Maintenance System.- 10 Conclusion.- Mathematical Notation.- List of Figures.- List of Tables.

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