A Model-Theoretic View on Qualitative Constraint Reasoning
Author(s) -
Manuel Bodirsky,
Peter Jönsson
Publication year - 2017
Publication title -
journal of artificial intelligence research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.79
H-Index - 123
eISSN - 1943-5037
pISSN - 1076-9757
DOI - 10.1613/jair.5260
Subject(s) - rotation formalisms in three dimensions , datalog , qualitative reasoning , computer science , constraint (computer aided design) , perspective (graphical) , consistency (knowledge bases) , deductive reasoning , artificial intelligence , theoretical computer science , spatial intelligence , cognitive science , mathematics , psychology , geometry
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.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom