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This book presents a computational model of design problem solving in which problems may be under-specified and domain knowledge may be incomplete. The approach combines plausible inference methods for generating, adapting, and evaluating designs, together with a flexible control strategy that accommodates constraints emerging late in the design process.
Novel features of this model include a problem-solving architecture that integrates case-based reasoning and constraint posting to generate plausible designs, domain-independent algorithms and heuristics for adapting proposed designs, and new mechanisms and metrics for evaluating solutions in terms of their integrity and completeness. This model of design is implemented in a computer program called JULIA that interactively designs the presentation and menu of a meal.
Table of Contents
Contents: Design in an Open World. Generating Plausible Designs. Adapting Designs. Evaluating Solutions. Controlling the Design Process. JULIA: The Program. Experiments. Related and Future Work. Conclusions.
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CHOICE – Outstanding Academic Title – Award Winner
CHOICE – 2018 Outstanding Academic Title – Award Winner
Shingo Research and Professional Publication Award Winner
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