Abstract
This paper proposes a new approach for proof number (PN) search, named job-level PN (JL-PN) search, where each search tree node is evaluated or expanded by a heavy-weight job, which takes normally over tens of seconds. Such JL-PN search is well suited for parallel processing, since these jobs are allowed to be performed by remote processors independently. This paper applies JL-PN search to solving automatically several Connect6 positions including openings on desktop grids. For some of these openings, so far no human expert had been able to find a winning strategy. Our experiments also show that the speedups for solving the test positions are roughly linear, fluctuating from sublinear to superlinear. Hence, JL-PN search appears to be a quite promising approach to solving games.
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Wu, IC., Lin, HH., Lin, PH., Sun, DJ., Chan, YC., Chen, BT. (2011). Job-Level Proof-Number Search for Connect6. In: van den Herik, H.J., Iida, H., Plaat, A. (eds) Computers and Games. CG 2010. Lecture Notes in Computer Science, vol 6515. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17928-0_2
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DOI: https://doi.org/10.1007/978-3-642-17928-0_2
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