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Formulating the temporal causal relationships between events and their results

Formulating the temporal causal relationships between events and their results

Ma, J., Petridis, M. and Knight, B. (2013) Formulating the temporal causal relationships between events and their results. In: Intelligent Systems XXX: Incorporating Applications and Innovations in Intelligent Systems XXI Proceedings of AI-2013, The Thirty-third SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence. Springer International Publishing, Switzerland, pp. 199-210. ISBN 9783319026206 (doi:https://doi.org/10.1007/978-3-319-02621-3_14)

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Abstract

We introduce in this paper a formalism for representing flexible temporal causal relationships between events and their effects. A formal characterization of the so-called (most) General Temporal Constraint (GTC) is formulated, which guarantees the common-sense assertion that “the beginning of the effect cannot precede the beginning of its causal event”. It is shown that there are actually in total 8 possible temporal causal relationships which satisfy the GTC. These include cases where, (1) the effect becomes true immediately after the end of the event and remains true for some time after the event; (2) the effect holds only over the same time over which the event is in progress; (3) the beginning of the effect coincides with the beginning of the event, and the effect ends before the event completes; (4) the beginning of the effect coincides with the beginning of the event, and the effect remains true for some time after the event; (5) the effect only holds over some time during the progress of the event; (6) the effect becomes true during the progress of the event and remains true until the event completes; (7) the effect becomes true during the progress of the event and remains true for some time after the event; and (8) where there is a time delay between the event and its effect. We shall demonstrate that the introduced formulation is versatile enough to subsume those existing representative formalisms in the literature.

Item Type: Conference Proceedings
Title of Proceedings: Intelligent Systems XXX: Incorporating Applications and Innovations in Intelligent Systems XXI Proceedings of AI-2013, The Thirty-third SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence
Additional Information: [1] This paper was first presented at Incorporating Applications and Innovations in Intelligent Systems XXI Proceedings of AI-2013, The Thirty-third SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence held from 10-12 December 2013 in Cambridge, England, UK. It was given within Technical Session T1: Representation and Reasoning on 11 December 2011. [2] ISBN: 9783319026206 (Print); 9783319026213 (Online)
Uncontrolled Keywords: artificial intelligence, robotics, data mining, knowledge discovery
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA76 Computer software
Faculty / Department / Research Group: Faculty of Architecture, Computing & Humanities
Related URLs:
Last Modified: 14 Oct 2016 09:28
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/12216

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