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Subject: Self-Play Experiments

Author: GuyHaworth

Date: 03:19:08 07/31/02

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Ernst Heinz reviewed all past self-play experiments, with one-ply difference in
search-depth, in chess and other games.

He also performed major self-play experiments:

a) for his Ph.D.
b) afterwards, at M.I.T.
c) since - unpublished.

ICGA_J v24.2 (2001) and ICCA_J v21.4 (1998) cover this.
See also:
    Advances in Computer Games, 9 - published by the Univ. of Maastricht.
    Scalable Search in Computer Chess, Heinz, Vieweg Verlag ISBN 3-5280-5732-7.

Heinz's objective was to show, with a high level of statistical confidence, that
the 1-ply advantage in search-depth delivered decreasing advantage as
shared-depth increased.

I re-analysed his stats in:
  7th Computer Olympiad Computer Games Workshop, Proceedings

and it's clear that Heinz achieved his objective.

Schumann has recently published similar results coming to the same conclusions.

Caveat:  the experiments need to be carefully set-up to:

a)  be repeatable by others
b)  ensure that they do not import factors which 'colour' the results

g




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