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» On the Implementation of the Probabilistic Logic Programming...
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IDT
2010
124views more  IDT 2010»
13 years 5 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
ILP
2005
Springer
14 years 6 days ago
Logical Bayesian Networks and Their Relation to Other Probabilistic Logical Models
Abstract. Logical Bayesian Networks (LBNs) have recently been introduced as another language for knowledge based model construction of Bayesian networks, besides existing languages...
Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe...
ACL
2012
11 years 9 months ago
Learning to "Read Between the Lines" using Bayesian Logic Programs
Most information extraction (IE) systems identify facts that are explicitly stated in text. However, in natural language, some facts are implicit, and identifying them requires â€...
Sindhu Raghavan, Raymond J. Mooney, Hyeonseo Ku
ICLP
2004
Springer
14 years 2 days ago
Possible Worlds Semantics for Probabilistic Logic Programs
Abstract. In this paper we consider a logic programming framework for reasoning about imprecise probabilities. In particular, we propose a new semantics, for the Probabilistic Logi...
Alex Dekhtyar, Michael I. Dekhtyar
PPDP
2010
Springer
13 years 4 months ago
Tabling for transaction logic
Transaction Logic is a logic for representing declarative and procedural knowledge in logic programming, databases, and AI. It has been successful in areas as diverse as workflows...
Paul Fodor, Michael Kifer