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Explaining Control Strategies in Problem Solving
Spring 1989 (vol. 4 no. 1)
pp. 9-15, 19-24

Explaining how knowledge-based systems reason involves presentation user modeling, dialogue structure, and the way systems understand their own problem-solving knowledge and strategies. The authors concentrate on the last of these, noting that such understanding provides any explanations's content. The authors also note that most current approaches to knowledge-based system construction require expressing knowledge and control at such low levels that it's hard to give high-level explanations. Providing an explanation example from a prototypical system (MYCIN) built using generic-task methods, they propose generic-task methodology as one way to build knowledge-based systems that contain basic explanation constructs at appropriate abstraction levels. The central concept of generic tasks is what input-output behavior (i.e. that task function), knowledge needed to perform the task, and inferences appropriate for the task are all specified together.

B. Chandrasekaran, Michael C. Tanner, John R. Josephson, "Explaining Control Strategies in Problem Solving," IEEE Intelligent Systems, vol. 4, no. 1, pp. 9-15, 19-24, Spring 1989, doi:10.1109/64.21896
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