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» Declarative Probabilistic Programming with Datalog
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FSTTCS
2000
Springer
13 years 11 months ago
Dynamically Ordered Probabilistic Choice Logic Programming
We present a framework for decision making under uncertainty where the priorities of the alternatives can depend on the situation at hand. We design a logic-programming language, D...
Marina De Vos, Dirk Vermeir
IDT
2010
124views more  IDT 2010»
13 years 6 months ago
Modelling decision making with probabilistic causation
Humans know how to reason based on cause and effect, but cause and effect is not enough to draw conclusions due to the problem of imperfect information and uncertainty. To resol...
Luís Moniz Pereira, Carroline Kencana Ramli
PLDI
2009
ACM
14 years 2 months ago
Analyzing recursive programs using a fixed-point calculus
We show that recursive programs where variables range over finite domains can be effectively and efficiently analyzed by describing the analysis algorithm using a formula in a ...
Salvatore La Torre, Parthasarathy Madhusudan, Genn...
LPNMR
2004
Springer
14 years 24 days ago
Probabilistic Reasoning With Answer Sets
This paper develops a declarative language, P-log, that combines logical and probabilistic arguments in its reasoning. Answer Set Prolog is used as the logical foundation, while c...
Chitta Baral, Michael Gelfond, J. Nelson Rushton
UAI
1997
13 years 8 months ago
Object-Oriented Bayesian Networks
Bayesian networks provide a modeling language and associated inference algorithm for stochastic domains. They have been successfully applied in a variety of medium-scale applicati...
Daphne Koller, Avi Pfeffer