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Simulating Dynamic Systems Using Linear Time Calculus Theories

Published online by Cambridge University Press:  21 July 2014

BART BOGAERTS ,
JOACHIM JANSEN ,
MAURICE BRUYNOOGHE ,
BROES DE CAT ,
JOOST VENNEKENS  and
MARC DENECKER
BART BOGAERTS
Affiliation:
Department of Computer Science, KU Leuven (e-mail: firstname.lastname@cs.kuleuven.be)
JOACHIM JANSEN
Affiliation:
Department of Computer Science, KU Leuven (e-mail: firstname.lastname@cs.kuleuven.be)
MAURICE BRUYNOOGHE
Affiliation:
Department of Computer Science, KU Leuven (e-mail: firstname.lastname@cs.kuleuven.be)
BROES DE CAT
Affiliation:
Department of Computer Science, KU Leuven (e-mail: firstname.lastname@cs.kuleuven.be)
JOOST VENNEKENS
Affiliation:
Department of Computer Science, KU Leuven (e-mail: firstname.lastname@cs.kuleuven.be)
MARC DENECKER
Affiliation:
Department of Computer Science, KU Leuven (e-mail: firstname.lastname@cs.kuleuven.be)
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Abstract

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Dynamic systems play a central role in fields such as planning, verification, and databases. Fragmented throughout these fields, we find a multitude of languages to formally specify dynamic systems and a multitude of systems to reason on such specifications. Often, such systems are bound to one specific language and one specific inference task. It is troublesome that performing several inference tasks on the same knowledge requires translations of your specification to other languages. In this paper we study whether it is possible to perform a broad set of well-studied inference tasks on one specification. More concretely, we extend IDP3 with several inferences from fields concerned with dynamic specifications.

Keywords

Dynamic systemsprogressionsimulationknowledge base systeminferences

Information

Type
Regular Papers
Information
Theory and Practice of Logic Programming , Volume 14 , Special Issue 4-5: 30th International Conference on Logic Programming , July 2014 , pp. 477 - 492
Copyright
Copyright © Cambridge University Press 2014 

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Simulating Dynamic Systems Using Linear Time Calculus Theories

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