Abstract
During system design and evaluation, development of optimal decision making rules required to simulate a teleological system can be very difficult. The Operational Evaluation Modeling (OpEM) inductive / adaptive expert system controller, integrated into the OpEM Simulation Tool Kit, can greatly facilitate this task. The decision rule development procedure optimizes system effectiveness by initial induction of the rule tree, using sample decision cases, followed by adaptive rule strength modification to optimize decision making. The rule specification language consists of all primitives needed to implement local and global decision making. These primitives include fuzzy facts to transform analog variables into discrete concepts and variable instantiation of facts to make context sensitive, global decisions. A single-track railroad system is evaluated as an example context sensitive system, and other methods of decision making are compared with OpEM.
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