Buch, Englisch, 222 Seiten, Format (B × H): 180 mm x 254 mm, Gewicht: 544 g
A Mathematical Perspective
Buch, Englisch, 222 Seiten, Format (B × H): 180 mm x 254 mm, Gewicht: 544 g
Reihe: Cambridge Tracts in Theoretical Computer Science
ISBN: 978-0-521-46089-7
Verlag: Cambridge University Press
Reasoning under uncertainty, that is, making judgements with only partial knowledge, is a major theme in artificial intelligence. Professor Paris provides here an introduction to the mathematical foundations of the subject. It is suited for readers with some knowledge of undergraduate mathematics but is otherwise self-contained, collecting together the key results on the subject and formalizing within a unified framework the main contemporary approaches and assumptions. The author has concentrated on giving clear mathematical formulations, analyses, justifications and consequences of the main theories about uncertain reasoning, so the book can serve as a textbook for beginners or as a starting point for further basic research into the subject. It will be welcomed by graduate students and research workers in logic, philosophy and computer science as an account of how mathematics and artificial intelligence can complement and enrich each other.
Autoren/Hrsg.
Weitere Infos & Material
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.
