Propositional, probabilistic, and evidential reasoning : integrating numerical and symbolic approaches /

The book systematically provides the reader with a broad range of systems/research work to date that address 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 probabilis...

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Bibliographic Details
Main Author:	Liu, Weiru, 1962-
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	Heidelberg ; New York : Physica-Verlag, [2001]
Series:	Studies in fuzziness and soft computing ; vol. 77.
Subjects:	Artificial intelligence. Uncertainty (Information theory) Reasoning. Computer science. Artificial Intelligence (incl. Robotics) Computational Mathematics and Numerical Analysis. Game Theory/Mathematical Methods. Electronic books.
Online Access:	Connect to the full text of this electronic book

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.