Tuning evaluation functions by maximizing concordance

DOI10.1016/j.tcs.2005.09.047zbMath1086.68121OpenAlexW2022522100MaRDI QIDQ817798

D. Gomboc, T. A. Marsland, Michael Buro

Publication date: 20 March 2006

Published in: Theoretical Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.tcs.2005.09.047

zbMATH Keywords

heuristic searchcomputer chessKendall's \(\tau \)heuristic evaluation functiongradient ascentordinal correlationpartial-sum transform

Mathematics Subject Classification ID

Game theory (91A99) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (1)

Tuning evaluation functions by maximizing concordance

Cites Work

• Tuning evaluation functions by maximizing concordance
• Best-first fixed-depth minimax algorithms
• On the Theory of Scales of Measurement
• Many-Layered Learning
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