Abstract
What exactly is it that gives one player a decisive advantage over the other in an adversarial contest? We have played tens of thousands of simulated chess games to compare how different kinds of advantage contribute to overcoming an opponent. This has allowed us to quantify the effects of search depth, material strength, and tempo on game outcomes. The results indicate that tempo and material are both advantageous, but that the degree of advantage is highly dependent on skill level. Skill level, as reflected by search depth, leverages small inequalities in material or tempo. In addition, searching one move deeper than an otherwise equally matched opponent equates to an advantage of between 85%-98%.
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References
Beal, D.F., Smith, M.C.: Learning Piece Values Using Temporal Differences. ICCA Journal 20(3), 147–151 (1997)
Berliner, H.J.: Chess as Problem Solving: The Development of a Tactics Analyzer. Ph.D. Thesis, Carnegie-Mellon University, Pittsburgh (1974)
Elo, A.E.: The rating of chess players past and present. Arco Publishing, New York (1978)
Article 11: scoring (2000), http://www.fide.com/official/handbook.asp?level=EE101
Heinz, E.A.: DarkThought Goes Deep. ICCA Journal 21(4), 228–244 (1998)
Junghanns, A., Schaeffer, J., Brockington, M., Bjornsson, Y., Marsland, T.A.: Diminishing returns for additional search in chess. In: van den Herik, H.J., Uiterwijk, J.W.H.M. (eds.) Advances in Computer Chess, vol. 8, pp. 53–67. University of Maastricht, Maastricht (1997)
Knuth, D.E.: The Art of Computer Programming. Seminumerical Algorithms, vol. 2. Addison-Wesley, Reading (1981) ISBN 0-201-03822-6
Kuylenstierna, J., Rydmark, J., Fahraeus, T.: The value of Information inWar: Some Experimental Findings. In: International Command and Control Research and Technology Symposium, Canberra (2000)
Levy, D.: Computer Gamesmanship: Elements of Intelligent Game Design. Simon & Schuster, New York (1984) ISBN 0-671-49532-1
Sonas, J.: The sonas rating formula - better than Elo? (2003), www.chesscenter.com/twic/event/sonas/sonasrat.html
Thompson, K.: Computer chess strength. In: Clarke, M.R.B. (ed.) Advances in Computer Chess, pp. 55–56. Pergamon, Oxford (1982)
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Smet, P., Calbert, G., Scholz, J., Gossink, D., Kwok, HW., Webb, M. (2003). The Effects of Material, Tempo and Search Depth on Win-Loss Ratios in Chess. In: Gedeon, T.(.D., Fung, L.C.C. (eds) AI 2003: Advances in Artificial Intelligence. AI 2003. Lecture Notes in Computer Science(), vol 2903. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24581-0_42
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DOI: https://doi.org/10.1007/978-3-540-24581-0_42
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