Decision Automation and Explanations

Prof. Gene Freuder wrote a position paper “Complete Explanations”: “The position taken here is that it can be worthwhile to start with truly complete explanations and abstract and limit from there. The goal is to provide a high-level “big picture” of the problem, in a form readily meaningful to a human user. The hope is that this may, as well, lead to general insights into constraint satisfaction problem structure… We need not just scalable algorithms but effective human-computer interfaces, including visualization tools, that help users grasp the big picture and explore their options.Link

This entry was posted in Decision Modeling, Explanations, Human-Machine Interaction, Optimization. Bookmark the permalink.

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