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Article type: Research Article
Authors: Barber, Federico; | Botti, Vicente | Onaindia, Eva | Crespo, Alfons
Affiliations: Dpto. Sistemas Informáticos y Computación, Universidad Politécnica de Valencia, P.O. Box 22012-46020, Valencia, Spain. Email: fbarber.vbotti.onaindia@dsic.upv.es | Dpto. de Ingeniería de Sistemas, Computadores y Automática, Universidad Politécnica de Valencia, P.O. Box 22012-46020, Valencia, Spain. Email: acrespo@aii.upv.es
Note: [] This work has been funded by the ESPRIT-II Project of the European Community no. 5146 (Reakt), by grant no. TIC91-1287-CE from the CICYT of the Spanish government and by grant no. GV-1112/93 of the Generalitat Valenciana (Spain).
Abstract: Temporal representation and reasoning, as the ability of reasoning about temporal data, representing past, current and expected application states, is an important function to be accomplished by Real-Time Knowledge-Based Systems (RTKBS), since these systems are usually applied in dynamic time-dependent problem domains. However, this feature is not completely nor usually addressed in current RTKBS tools. In this paper, a RTKBS architecture is presented, with special emphasis on its temporal reasoning function, which is integrated in a RTKBS environment with a multi-agent blackboard architecture. Representation and management of temporal data, representing past, current and future problem states and reasoning processes within these contexts are detailed.
DOI: 10.3233/AIC-1994-73-403
Journal: AI Communications, vol. 7, no. 3-4, pp. 175-202, 1994
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