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A logic to reason about likelihood
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Source Annual ACM Symposium on Theory of Computing archive
Proceedings of the fifteenth annual ACM symposium on Theory of computing table of contents
Pages: 310 - 319  
Year of Publication: 1983
ISBN:0-89791-099-0
Authors
Sponsor
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 3,   Downloads (12 Months): 15,   Citation Count: 6
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ABSTRACT

We present a logic LL which uses a modal operator L to help capture the notion of likely. Despite the fact that no use is made of numbers, LL can capture many of the properties of likelihood in an intuitively appealing way. Using standard techniques of modal logic, we give a complete axiomatization for LL and show that satisfiability of LL formulas can be decided in exponential time. We discuss how the logic might be used in areas where decision making is crucial, such as management and medical diagnosis, and conclude by using LL to give a formal proof of correctness of a protocol for exchanging secrets.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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M. J. Fischer and R. E. Ladner, Propositional Dynamic Logic of Regular Programs, JCSS18:2, 1979, pp. 194-211.
 
3
J. Y. Halpern and D. A. McAllester, Likelihood, Probability, Knowledge, and Time, unpublished manuscript, 1982.
 
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G. E. Hughes and M. J. Cresswell, An Introduction to Modal Logic, Methuen, London, 1968.
 
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D. V. McDermott and J. Doyle, Nonmonotonic Logic I, Artificial Intelligence13:1,2, 1980, pp. 41-72.
 
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R. Moore, Reasoning About Knowledge and Action, Ph.D dissertation, MIT, 1979.
 
9
V.R. Pratt, Models of Program Logics, FOCS, 1979, pp. 115-122.
 
10
M.O. Rabin, How to Exchange Secrets by Oblivious Transfer, unpublished manuscript, 1981
 
11
N. Rescher and A. Urquhart, Temporal Logic, Springer-Verlag, 1971.
 
12
G. Shafer, A Mathematical Theory of Evidence, Princeton University Press, 1976.
 
13
P. Szolovits and S. G. Pauker, Categorical and Probabilistic Reasoning in Medical Diagnosis, Artificial Intelligence11, 1978, pp. 115-144.
 
14
A. Tversky and D. Kahneman, Judgement Under Uncertainty: Heuristics and Biases, Science185, 1974, pp. 1124-1131.
 
15
L. A. Zadeh, Fuzzy Sets, Information and Control8, 1965, pp. 338-353.


Collaborative Colleagues:
Joseph Y. Halpern: colleagues
Michael O. Rabin: colleagues