F. Barber, V. Botti, E. Onaindía
AIRTC'94.Symposium on Artifcial Intelligence Real-Time Control. Servicio de Publicaciones U.P.V. SPUPV94-2048 (1994)
Abstract
The ability of reasoning about temporal data, representing past, current and expected application states is an important function to be accomplished byReal-Time Knowledge-Based Systems (RTKBS). The application of Knowledge-based systems to real-time problems has to deal with dynamic time-constrained environments and assess two of the most important requirements in real-time systems: the ability to react rapidly to changes in the environment and the guarantee of a bound on the response time. This paper presents a temporal framework for reasoning about the future behavior of a dynamic time-constrained problem. The proposed mechanism is integrated into a multi-agent lackboard architecture [Mench 93] and will provide a perspective of the temporal functionality offered in the REAKT tool [REAKT 90].
PostScript Article (985 K).