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IJCAI 2013

Transition Constraints: A Study on the Computational Complexity of Qualitative Change

Conference Paper Knowledge Representation, Reasoning, and Logic Artificial Intelligence

Abstract

Many formalisms discussed in the literature on qualitative spatial reasoning are designed for expressing static spatial constraints only. However, dynamic situations arise in virtually all applications of these formalisms, which makes it necessary to study variants and extensions dealing with change. This paper presents a study on the computational complexity of qualitative change. More precisely, we discuss the reasoning task of finding a solution to a temporal sequence of static reasoning problems where this sequence is subject to additional transition constraints. Our focus is primarily on smoothness and continuity constraints: we show how such transitions can be defined as relations and expressed within qualitative constraint formalisms. Our results demonstrate that for pointbased constraint formalisms the interesting fragments are NP-complete in the presence of continuity constraints, even if the satisfiability problem of its static descriptions is tractable.

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Context

Venue
International Joint Conference on Artificial Intelligence
Archive span
1969-2025
Indexed papers
14525
Paper id
952883062072291273