The mind-set that has dominated the history of computer game
playing relies on straightforward exploitation of the available
computing power. The fact that a machine can explore millions of
variations sooner than the sluggish human can wink an eye has
inspired hopes that the mystery of intelligence can be cracked, or
at least side-stepped, by sheer force. Decades of the steadily
growing strength of computer programs have attested to the
soundness of this approach. It is clear that deeper understanding
can cut the amount of necessary calculations by orders of
magnitude. The papers collected in this volume describe how to
instill learning skills in game playing machines. The reader is
asked to keep in mind that this is not just about games -- the
possibility that the discussed techniques will be used in control
systems and in decision support always looms in the background.
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