This paper's first part, reviewed attempts to model real-world problem solving as machine-executable logic. Part 2 considers an alternative model in which the solution of problems is primarily the work of visualization supported by automatized skills. Consciousness operates at the level of goal-setting and monitoring, and of the construction and communication of after-the-event commentaries, not as a problem solver. Engineering designs based on this model have proved convenient and effective. `Structured induction' is now routinely used to recover and articulate expertise that in the human solver remains tacit. A seminal case of computer-mediated superarticulacy is described in which a human problem solver was enabled to transform an elaborate, but largely blind and unconscious, mental skill into a fully aware, communicable and machine-executable theory.
Keywords Consciousness  Engineering  Machine  Model  Science
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