A rule-based system must satisfy stringent timing constraints when applied to a real-time environment. As the scale of rule-based expert systems increases, the efficiency of systems becomes a pressing concern. The most critical performance factor in the implementation of a production system is the condition-testing algorithm. We propose a new method based on the widely used RETE match algorithm. We show an approach designed to reduce the response time of rule-based expert systems by reducing the matching time. There are two steps in the method we propose: The first makes an index structure of the tokens to reduce the /spl alpha/-node-level join candidates. The second chooses the highest time tag for certain /spl beta/-nodes to reduce the amount of combinatorial match that is problematical in a real-time production system application. For this purpose, a simple compiler is implemented in C and the response time of test programs is measured.

A rule-based system must satisfy stringent timing constraints when applied to a real-time environment. The most critical performance factor in the implementation of a production system is the condition-testing algorithm. We show an approach designed to reduce the response time of rule-based expert systems by reducing the matching time based on RETE. There are two steps in the method we propose: the first makes an index structure of the tokens to reduce the /spl alpha/-node-level join candidates; the second chooses the highest time tag for certain /spl beta/-nodes to reduce the size of the /spl beta/-memory and to keep the strategy of the RETE network. These steps reduce the amount of combinatorial match that is problematical in a real-time production system application.