A multi - agent based architecture to qualitative temporal constraint reasoning

Authors:
Tahar Guerram;Ramdane Maamri;Zaidi Sahnoun
Affiliations:
Department of computer Science, University of Oum El Bouaghi, Algeria;LIRE Laboratory, Department of Computer Science, University Mentouri of Constantine, Algeria;LIRE Laboratory, Department of Computer Science, University Mentouri of Constantine, Algeria
Venue:
ECC'10 Proceedings of the 4th conference on European computing conference
Year:
2010

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Abstract

Qualitative Reasoning (Q.R) is an inferring technique using a qualitative model to derive new qualitative knowledge. It's closer to human reasoning and offers the advantage to coping with incomplete information and allows to predict the studied system's behaviour. So, the main benefit of Q.R is that it is possible to provide an approximate solution to a given real world problem when all detailed precise information is unavailable or unnecessary. Qualitative temporal reasoning uses imprecise or vague temporal information and can be applied to qualitative task planning and scheduling. In this paper, we propose a multi agent based approach to qualitative temporal reasoning where available temporal information about actions is represented by a qualitative constraint network using Allen's qualitative algebra.