Connecting Qualitative Spatial and Temporal Representations by Propositional Closure
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. Pages 1308-1313.
Abstract
This paper establishes new relationships between existing qualitative spatial and temporal representations. Qualitative spatial and temporal representation (QSTR) is concerned with abstractions of infinite spatial and temporal domains, which represent configurations of objects using a finite vocabulary of relations, also called a qualitative calculus. Classically, reasoning in QSTR is based on constraints. An important task is to identify decision procedures that are able to handle constraints from a single calculus or from several calculi. In particular the latter aspect is a longstanding challenge due to the multitude of calculi proposed. In this paper we consider propositional closures of qualitative constraints which enable progress with respect to the longstanding challenge. Propositional closure allows one to establish several translations between distinct calculi. This enables joint reasoning and provides new insights into computational complexity of individual calculi. We conclude that the study of propositional languages instead of previously considered purely relational languages is a viable research direction for QSTR leading to expressive formalisms and practical algorithms.
@inproceedings{ijcai2016p189,
title = {Connecting Qualitative Spatial and Temporal Representations by Propositional Closure},
author = {Wolter, Diedrich and Lee, Jae Hee},
booktitle = {Proceedings of the Twenty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-16}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Subbarao Kambhampati},
pages = {1308--1313},
year = {2016},
month = {7},
url = {https://ijcai.org/proceedings/2016/189},
}
TY - CPAPER TI - Connecting Qualitative Spatial and Temporal Representations by Propositional Closure AU - Wolter, Diedrich AU - Lee, Jae Hee T2 - Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2016 SP - 1308 EP - 1313 UR - https://ijcai.org/proceedings/2016/189 ER -Copied
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