Automatic Discovery of Heuristics for Non Deterministic Programs

Cover Automatic Discovery of Heuristics for Non Deterministic Programs
Automatic Discovery of Heuristics for Non Deterministic Programs
Salvatore J Stolfo
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Rit cf ^^rcccdurcil inforTTiatz-cr. Is of the saiTie ordei. Of macmitude as the amount of denl nrai- -i vr> information, and so £uch approaches may be effective. However, in most cases the amount ot control information will be very large - 1 - (e. Fj. Theorem-proving, natural language understanding) . Thufj the problem of acquiring, debugging and extending control information will become increasingly important.
In general, v;e might expect tliat this control information will embody very sophist
...icated principles requiring data-structures not present in the declarative forra of the program, or which are only dcducible by the use of considerable intelligence. For example, it is clear that the incorporation of the heuristic principles of evaluation and ct-B search into a declarative chess program which specifies only the rules of chess but no strategies for playing will require an analysis which is considerably beyond the ability of present techniques; even the optimization of the parameters in a linor.

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