In his well-known work, No Free Lunch, p. 11, ID Researcher William A Dembski has illustrated the search challenge concept in terms of an arrow hitting a target amidst a reference class of possibilities. In so doing, he reaches back to the statistical mechanical and mathematical concept of a phase space “cut down” to address configurations only (leaving out momentum), aka state space.  He then goes on to speak in terms of probabilities, observing: >>. . . in determining whether an event is sufficiently improbable or complex to implicate design, the relevant probability is not that of the event [= E] itself. In the archery example, that probability corresponds to the size of the arrowhead point in relation to the … Continue reading AI, state/configuration space search and the ID search challenge