ENGLISH

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

By Dr. Weiru Liu (auth.)

Book information

Publisher
Physica-Verlag Heidelberg
Year
2001
ISBN
978-3-7908-2493-3, 978-3-7908-1811-6
DOI
10.1007/978-3-7908-1811-6
Language
english
Format
PDF
Filesize
9 MB (9166109 bytes)
Series
Studies in Fuzziness and Soft Computing 77
Edition
1
Pages
274\279
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
Artificial Intelligence (incl. Robotics); Computat

Description

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 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 is addressed primarily to 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.

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