If the user is satisfied with the expected consequences, s/he finalizes his(her) decisions. The quality of his(her) decisions are automatically evaluated, and information about the strengths and shortcomings of his(her) decision-making strategy is fed back to him(her). We have used this environment to train and evaluate novice air traffic controllers. Figure 5 shows the two displays of the PMME system. The left-hand side displays the current world and the right-hand side the extrapolated world.

The applications include the user-advised construction of an assembly line balancing system and a self-optimizing street light control system. The generalized production-rule strategy that is better than any other at Arizona State University. The estimation is based on for the decision maker to respond to. The system can serve as a module simulation models. of an expert system in need of numeric Figure 1 shows the or functional estimates of hiddenvariable Mazur, Robert F. geographically distributed input Cromp, Bede McCall, operations and knowledge bases. Bickmore, Jan van been in the area of forecasting and Leeuwen, João Martins, interpolating econometric indicators.