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Unobtrusive workstation farming without inconveniencing owners: learning Backgammon with a genetic algorithm

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1 Author(s)
P. J. Darwen ; Dept. of Comput. Sci. & Electr. Eng., Queensland Univ., Brisbane, Qld., Australia

Most efforts at low-cost parallel computing assume a monopoly on the hardware being used. That all-or-nothing attitude ignores many machines dedicated to other activities, but which sit idle for 16 hours a day. However naive attempts to utilize idle machines can interfere with their primary purpose. This paper describes the successful effort to unobtrusively farm idle machines, for an artificial intelligence system using a genetic algorithm to learn the game Backgammon. It maintains owners' full access to their machines, without causing any detectable interference

Published in:

Cluster Computing, 1999. Proceedings. 1st IEEE Computer Society International Workshop on

Date of Conference: