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» Characterizing and reasoning about probabilistic and non-pro...
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ICLP
2005
Springer
13 years 11 months ago
Hybrid Probabilistic Logic Programs with Non-monotonic Negation
1 In [20], a new Hybrid Probabilistic Logic Programs framework is proposed, and a new semantics is developed to enable encoding and reasoning about real-world applications. In this...
Emad Saad, Enrico Pontelli
CONCUR
1994
Springer
13 years 10 months ago
Composition and Behaviors of Probabilistic I/O Automata
We augment the I/O automaton model of Lynch and Tuttle with probability, as a step toward the ultimate goal of obtaining a useful tool for specifying and reasoning about asynchron...
Sue-Hwey Wu, Scott A. Smolka, Eugene W. Stark
ECSQARU
2009
Springer
14 years 25 days ago
The Probabilistic Interpretation of Model-Based Diagnosis
Model-based diagnosis is the field of research concerned with the problem of finding faults ms by reasoning with abstract models of the systems. Typically, such models offer a ...
Ildikó Flesch, Peter J. F. Lucas
SUM
2010
Springer
13 years 4 months ago
Cost-Based Query Answering in Action Probabilistic Logic Programs
Abstract. Action-probabilistic logic programs (ap-programs), a class of probabilistic logic programs, have been applied during the last few years for modeling behaviors of entities...
Gerardo I. Simari, John P. Dickerson, V. S. Subrah...
AIPS
2000
13 years 7 months ago
A New Perspective on Algorithms for Optimizing Policies under Uncertainty
The paper takes a fresh look at algorithms for maximizing expected utility over a set of policies, that is, a set of possible ways of reacting to observations about an uncertain s...
Rina Dechter