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My impression that this also applies to the results reported by R.N. Haber in
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A. M. Turing,
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See several essays about self-organizing learning systems at: Gary Drescher,
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Technically, if a system has already been optimized, then any change is likely to make it worse until one find a higher peak, some distance away in the “fitness space.”
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See §2.6 of
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There has been some recent progress toward extracting such kinds of knowledge from large number of users of the Web. See Push Singh’s ‘OpenMind Commonsense’ project at http://commonsense.media.mit.edu/.
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John McCarthy, “Programs with Common Sense,” in
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People sometimes use ‘abstract’ to mean ‘complex’ or ‘highly intellectual’—but here I mean almost the opposite: a more abstract description ignores more details—which makes it more useful because it depends less on the features of particular instances.
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See Elizabeth Johnston’s notes on “Infantile Amnesia” at http://pages.slc.edu/~ebj/IM_97/Lecture6/L6.html
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In each cycle of operation, the program finds some differences between the current state and the desired one. Then it uses a separate method to guess which of those differences is most significant, and makes a new subgoal to reduce that difference. If this results in a smaller difference, the process goes on; otherwise it works on some other difference. For more details of how this worked, see Newell, A., J. C. Shaw, and H. A. Simon, “Report on a general problem solving program,” in