TEMPORAL REASONING IN REAKT - AN ENVIRONMENT FOR REAL-TIME KNOWLEDGE-BASED SYSTEMS

Temporal representation and reasoning, as the ability of reasoning abo ut temporal data, representing past, current and expected application states, is an important function to be accomplished by Real-Time Knowl edge-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 temp oral reasoning function, which is integrated in a RTKBS environment wi th a multiagent blackboard architecture. Representation and management of temporal data, representing past, current and future problem state s and reasoning processes within these contexts are detailed.