Temporal Abstraction of States Through Fuzzy Temporal Constraint Networks

Authors:
M. Campos;J. M. Juárez;J. Salort;J. Palma;R. Marín
Affiliations:
Informatics and Systems Dept. Computer Science faculty. University of Murcia,;Information and Communications Engineering Dept. Computer Science faculty. University of Murcia,;Information and Communications Engineering Dept. Computer Science faculty. University of Murcia,;Information and Communications Engineering Dept. Computer Science faculty. University of Murcia,;Information and Communications Engineering Dept. Computer Science faculty. University of Murcia,
Venue:
IWINAC '07 Proceedings of the 2nd international work-conference on The Interplay Between Natural and Artificial Computation, Part I: Bio-inspired Modeling of Cognitive Tasks
Year:
2007

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Abstract

Temporal abstraction methods produce high level descriptions of a parameter evolution from collections of temporal data. As the level of abstraction of the data is increased, it becomes easier to use them in a reasoning process based on high-level explicit knowledge. Furthermore, the volume of data to be treated is reduced and, subsequently, the reasoning becomes more efficient. Besides, there exist domains, such as medicine, in which there is some imprecision when describing the temporal location of data, especially when they are based on subjective observations. In this work, we describe how the use of fuzzy temporal constraint networks enables temporal imprecision to be considered in temporal abstraction.