Real-time reasoning based on event-condition-action rules

Abstract

In this paper, we develop a reasoning mechanism for real-time and active database (RTADB). The core of this reasoning mechanism is a real-time inference algorithm based on Event-condition-action (ECA) rules, called RTIAE. This algorithm is based on heuristic search on a rule graph so as to give the actions responding to occurring events as many as possible under certain timing constraint. Furthermore, we conduct a series of simulations studies to analyze the performance of the proposed algorithm and compare it with depthfirst algorithm.