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- W2121348005 abstract "-Much work has been devoted to the computational complexity of games. However, they are not necessarily relevant for estimating the complexity in human terms. Therefore, human-centered measures have been proposed, e.g. the depth. This paper discusses the depth of various games, extends it to a continuous measure. We provide new depth results and present tool (given-first-move, pie rule, size extension) for increasing it. We also use these measures for analyzing games and opening moves in Y, NoGo, Killall Go, and the effect of pie rules." @default.
- W2121348005 created "2016-06-24" @default.
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- W2121348005 date "2015-08-31" @default.
- W2121348005 modified "2023-09-28" @default.
- W2121348005 title "Depth, balancing, and limits of the Elo model" @default.
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