Article (Scientific journals)
Causal dynamic inference
Bochman, Alexander; Gabbay, Dov M.
2012In Annals of Mathematics & Artificial Intelligence, 66 (1-4), p. 231-256
Peer reviewed
 

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Abstract :
[en] We suggest a general logical framework for causal dynamic reasoning. As a first step, we introduce a uniform structural formalism and assign it two kinds of semantics, abstract dynamic models and relational models. The corresponding completeness results are proved. As a second step, we extend the structural formalism to a two-sorted state-transition calculus, and prove its completeness with respect to the associated relational semantics.
Disciplines :
Computer science
Identifiers :
UNILU:UL-ARTICLE-2012-1296
Author, co-author :
Bochman, Alexander;  Holon Instutute of Technology, Holon
Gabbay, Dov M. ;  Bar-Ilan University > Computer Science Department
Language :
English
Title :
Causal dynamic inference
Publication date :
2012
Journal title :
Annals of Mathematics & Artificial Intelligence
ISSN :
1012-2443
Publisher :
Springer
Volume :
66
Issue :
1-4
Pages :
231-256
Peer reviewed :
Peer reviewed
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since 16 January 2014

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