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» Unifying Logical and Probabilistic Reasoning
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CORR
2002
Springer
132views Education» more  CORR 2002»
14 years 9 months ago
Nonmonotonic Reasoning, Preferential Models and Cumulative Logics
Many systems that exhibit nonmonotonic behavior have been described and studied already in the literature. The general notion of nonmonotonic reasoning, though, has almost always ...
Sarit Kraus, Daniel J. Lehmann, Menachem Magidor
ILP
1998
Springer
15 years 1 months ago
Application of Inductive Logic Programming to Discover Rules Governing the Three-Dimensional Topology of Protein Structure
Abstract. Inductive Logic Programming (ILP) has been applied to discover rules governing the three-dimensional topology of protein structure. The data-set unifies two sources of in...
Marcel Turcotte, Stephen Muggleton, Michael J. E. ...
IDA
2005
Springer
15 years 3 months ago
Combining Bayesian Networks with Higher-Order Data Representations
Abstract. This paper introduces Higher-Order Bayesian Networks, a probabilistic reasoning formalism which combines the efficient reasoning mechanisms of Bayesian Networks with the...
Elias Gyftodimos, Peter A. Flach
IDT
2010
124views more  IDT 2010»
14 years 8 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
ICLP
2004
Springer
15 years 3 months 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