Hostname: page-component-8448b6f56d-tj2md Total loading time: 0 Render date: 2024-04-20T02:17:58.667Z Has data issue: false hasContentIssue false

The uncertain reasoner's companion: a mathematical perspective by Jeff B. Paris, Cambridge University Press, Cambridge, UK, 1994, pp 212. Volume 39 in Cambridge Tracts in Theoretical Computer Science.

Published online by Cambridge University Press:  07 July 2009

Didier Dubois
Affiliation:
IRIT-CNRS, Toulouse, France

Abstract

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Book Reviews
Copyright
Copyright © Cambridge University Press 1996

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Benferhat, S, Dubois, D and Prade, H, 1992. “Representing default rules in possibilistic logic” In: Proc. of the 3rd Inter. Conf. on Principles of knowledge Representation and Reasoning (KR'92), 673684, Cambridge, MA, 10 26–29.Google Scholar
De, Finetti B, 1936. “La logique de la probabilite” Actes du Congrès Inter. de Philosophie Scientifique, Paris. (Hermann et Cie Editions, 1936, IVI1V9).Google Scholar
Driankov, D, Hellendoorn, H and Reinfrank, M, 1995. An Introduction to Fuzzy Control, Springer-Verlag.Google Scholar
Dubois, D and Prade, H, 1988. “An introduction to possibilistic and fuzzy logics” In: Non-Standard Logics for Automated Reasoning (Smets, P, Mamdani, A, Dubois, D and Prade, H, editors), 287315, Academic Press.Google Scholar
Dubois, D and Prade, H, 1994. “Can we enforce full compositionality in uncertainty calculi?’ In: Proc. 12th US National Conf. On Artificial Intelligence (AAAI94), 149154, Seattle, WA.Google Scholar
Elkan, C, 1994. “The paradoxical success of fuzzy logic” IEEE Expert 08, 38.CrossRefGoogle Scholar
Lehmann, D and Magidor, M, 1992. “What does a conditional knowledge base entail?Artificial Intelligence 55 (1) 160.CrossRefGoogle Scholar
Maung, I, 1995. “Two characterizations of a minimum-information principle in possibilistic reasoningInt. J. of Approximate Reasoning 12 133156.CrossRefGoogle Scholar
Pearl, J, 1990. “System Z: A natural ordering of defaults with tractable applications to default reasoning” Proc. of the 2nd Conf. on Theoretical Aspects of Reasoning about Knowledge (TARK'90) 121135, San Francisco, CA, Morgan Karfman.Google Scholar
Shoham, Y, 1988. Reasoning about Change MIT Press.Google Scholar
Smets, P, 1988. “Belief functions” In: Non-Standard Logics for Automated Reasoning (Smets, P, Mamdani, A, Dubois, D and Prade, H, editors), 253286, Academic Press.Google Scholar
Smets, P, 1990a. “The combination of evidence in the transferable belief modelIEEE Trans. on Pattern Anal. Mach. Intell. 12 447458.CrossRefGoogle Scholar
Smets, P, 1990b. “Constructing the pignistic probability function in a context of uncertainty” Un certainty in Artificial Intelligence 5 (Henrion, M et al. , editors), 2940, North-Holland.Google Scholar
Smets, P, 1995. “Quantifying beliefs by belief functions: An axiomatic justification” In: Proc of the 13th Inter. Joint Conf. on Artificial Intelligence (IJACI'93), 598603, Chambéy, France, 08 28–09 3.Google Scholar
Smets, P and Kennes, R, 1994. “The transferable belief modelArtificial Intelligence 66 191234.CrossRefGoogle Scholar