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LPNMR
1999
Springer
13 years 10 months ago
Representing Transition Systems by Logic Programs
This paper continues the line of research on representing actions, on the automation of commonsense reasoning and on planning that deals with causal theories and with action langua...
Vladimir Lifschitz, Hudson Turner
IJCAI
2007
13 years 7 months ago
Using the Probabilistic Logic Programming Language P-log for Causal and Counterfactual Reasoning and Non-Naive Conditioning
P-log is a probabilistic logic programming language, which combines both logic programming style knowledge representation and probabilistic reasoning. In earlier papers various ad...
Chitta Baral, Matt Hunsaker
KSEM
2010
Springer
13 years 3 months ago
A Formalism for Causal Explanations with an Answer Set Programming Translation
We examine the practicality for a user of using Answer Set Programming (ASP) for representing logical formalisms. Our example is a formalism aiming at capturing causal explanation...
Yves Moinard
PKDD
2010
Springer
148views Data Mining» more  PKDD 2010»
13 years 4 months ago
Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models
Abstract. A new method is proposed for compiling causal independencies into Markov logic networks (MLNs). An MLN can be viewed as compactly representing a factorization of a joint ...
Sriraam Natarajan, Tushar Khot, Daniel Lowd, Prasa...
ECAI
1998
Springer
13 years 10 months ago
Causal Logic
This paper proposes a logic for causal based on event trees. Event trees provide a natural and familiar framework for probability and decision theory, but they lack the modularity...
Glenn Shafer