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A Model-Theoretic View on Qualitative Constraint Reasoning
Technical University of Dresden, Germany.
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering.
2017 (English)In: The journal of artificial intelligence research, ISSN 1076-9757, E-ISSN 1943-5037, Vol. 58, p. 339-385Article in journal (Refereed) Published
Abstract [en]

Qualitative reasoning formalisms are an active research topic in artificial intelligence. In this survey we present a model-theoretic perspective on qualitative constraint reasoning and explain some of the basic concepts and results in an accessible way. In particular, we discuss the significance of omega-categoricity for qualitative reasoning, of primitive positive interpretations for complexity analysis, and of Datalog as a unifying language for describing local consistency algorithms.

Place, publisher, year, edition, pages
AI ACCESS FOUNDATION , 2017. Vol. 58, p. 339-385
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:liu:diva-136365DOI: 10.1613/jair.5260ISI: 000396197200001OAI: oai:DiVA.org:liu-136365DiVA, id: diva2:1087800
Note

Funding Agencies|European Research Council [681988]; German Science Foundation (DFG) [622397]

Available from: 2017-04-10 Created: 2017-04-10 Last updated: 2017-11-29

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