Implementation Issues Research in the use of expert systems for design tasks has identified a range of implementation issues. Also of concern is the need for recovery methods if constraint conflicts go undetected. Regardless of the solution model applied, the effectiveness of AI design applications depends upon a minimum level of trust by professional users. If forced to use an aid which he does not trust, a decision maker may use any means available, even very demanding and time consuming ones, to direct the output of the aid toward his own decisions. This paper has described how artificial intelligence principles can be applied to design decision making.
Constraints occupy a slot within each decision frame.
Constraint propagation is viewed as the probabilistic firing of links between nodes, forming a decision pattern limited by the characteristics of slot constraints. This model provides a cognitive mapping framework for experimental design and for the interpretation of study results. Specific constraints will be assigned to tasks in user scenarios. An extension of cognitive fit. A Light into the Future , 256-261.