Applying decision tree methodology for rules extraction under cognitive constraints
Within this paper the initialization phase of the cognitive management for anthropocentric production systems (COMAPS) project (BRITE-EURAM BE 96-3941) is presented. The entire COMAPS-system is an online decision support system to control dynamically changing industrial production processes. This paper focuses on the adoption of production rules produced by decision tree techniques to the cognitive model of expert's control practice. The applied algorithms to obtain a quasi-optimal rule set as a model of the intentional representation of the expert knowledge is presented and tested on real world applications (printed circuit board, foil and brake pad production). The results of one application are shown.
decision trees decision support production rules cognitive modeling system dynamic machine learning knowledge acquisition