The Uncertain Reasoner's Companion
The Uncertain Reasoner's Companion
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USDReasoning under uncertainty, that is, making judgments with only partial knowledge, is a major theme in artificial intelligence. Professor Paris provides here an introduction to the mathematical foundations of the subject.
The author presents the key results on the subject, and formalizes within a unified framework the main contemporary approaches and assumptions. He concentrates on giving clear mathematical formulations, analyses, justifications, and consequences of the main theories about uncertain reasoning.
- Applicable to both mathematicans and computer scientists
- Exciting and fashionable area of research at present
Reviews & endorsements
"Those who value economic history's concern to establish what really happened will welcome the direction of attention to a problem of such contemporary interest as the multinational enterprise." Business History
"The majority of the papers are historical studies of particular enterprises or areas between the 1860s and the Second World War...The collection will provide matter of interest to others besides economic historians." Economic History Review
"This work is an outstanding mathematical treatment of uncertainty in knowledge-based systems. It provides, in a uunified manner, the needed fundamentals for theoretical approaches." L. State, Computing Reviews
Product details
November 2006Paperback
9780521032728
224 pages
228 × 152 × 13 mm
0.361kg
Available
Table of Contents
- Introduction
- 1. Motivation
- 2. Belief as probability
- 3. Justifying belief as probability
- 4. Dempster-Shafer belief
- 5. Truth-functional belief
- 6. Inference processes
- 7. Principles of uncertain reasoning
- 8. Belief revision
- 9. Independence
- 10. Computational feasibility
- 11. Uncertain reasoning in the predicate calculus
- 12. Principles of predicate uncertain reasoning
- Glossary
- Bibliography
- Index.
