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Nonlinear amplification of human decision errors under time pressure and positional ambiguity: An interpretable machine learning analysis of chess

2026-04-07

Abstract excerpt

<title>Abstract</title> <p>Time pressure and positional ambiguity are two fundamental cognitive constraints that threaten human performance in sequential decision systems like chess. However, the interactive and nonlinear nature of these factors has not yet been sufficiently quantified. In this study, 39,922 positions obtained from blitz games of seven elite chess players on the Lichess platform were processed us...

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Literature Corpus work
2404b2d3-cc7f-5499-ac44-f5bc295781ee
DOI
10.21203/rs.3.rs-9159157/v1
Open publication

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Nonlinear amplification of human decision errors under time pressure and positional ambiguity: An interpretable machine learning analysis of chessDOI 10.21203/rs.3.rs-9159157/v1
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