David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
Learn more about PhilPapers
Cambridge University Press (1994)
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 formalising 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 a textbook for beginners, a starting point for further basic research into the subject, and not least, an account of how mathematics and artificial intelligence can complement and enrich each other.
|Keywords||Logic, Symbolic and mathematical Uncertainty Reasoning Incertitude Raisonnement|
|Categories||categorize this paper)|
|Buy the book||$49.07 new (19% off) $50.17 used (17% off) $59.99 direct from Amazon Amazon page|
|Call number||QA9.P28 1994|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
Giosuè Baggio, Michiel Lambalgen & Peter Hagoort (2015). Logic as Marr's Computational Level: Four Case Studies. Topics in Cognitive Science 7 (2):287-298.
C. J. Nix & J. B. Paris (2007). A Note on Binary Inductive Logic. Journal of Philosophical Logic 36 (6):735 - 771.
Gerhard Schurz & Paul D. Thorn (2012). REWARD VERSUS RISK IN UNCERTAIN INFERENCE: THEOREMS AND SIMULATIONS. Review of Symbolic Logic 5 (4):574-612.
C. J. Nix & J. B. Paris (2006). A Continuum of Inductive Methods Arising From a Generalized Principle of Instantial Relevance. Journal of Philosophical Logic 35 (1):83 - 115.
J. B. Paris & P. Waterhouse (2009). Atom Exchangeability and Instantial Relevance. Journal of Philosophical Logic 38 (3):313 - 332.
Similar books and articles
Boris Iglewicz (1973). An Introduction to Mathematical Reasoning. New York,Macmillan.
Tyler Burge (2003). Logic and Analyticity. Grazer Philosophische Studien 66 (1):199-249.
Alfred Tarski (1994). Introduction to Logic and to the Methodology of the Deductive Sciences. Oxford University Press.
Lyn D. English (ed.) (1997). Mathematical Reasoning: Analogies, Metaphors, and Images. L. Erlbaum Associates.
Volker Peckhaus (1999). 19th Century Logic Between Philosophy and Mathematics. Bulletin of Symbolic Logic 5 (4):433-450.
René Cori (2000). Mathematical Logic: A Course with Exercises. Oxford University Press.
Joel W. Robbin (1969). Mathematical Logic: A First Course. Dover Publications.
J. L. Bell (1977). A Course in Mathematical Logic. Sole Distributors for the U.S.A. And Canada American Elsevier Pub. Co..
Added to index2009-01-28
Total downloads20 ( #187,884 of 1,907,366 )
Recent downloads (6 months)2 ( #343,301 of 1,907,366 )
How can I increase my downloads?