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Evidence record 17930 · automatically gathered

Beyond the Black Box: Interpretable Models of Human Randomisation Failures

Mixed strategy equilibrium predicts i.i.d play: past actions should not help predict future decisions. Human players, however, systematically depart from this benchmark, and in O'Neill's zero sum card game, these departures can be predicted by black box sequence models such as LSTMs. This paper asks whether that predictive power can be achieved by transparent alternatives that also reveal the behavioural structure behind it. Using 84,060 decisions from 2,802 pairs, the analysis first benchmarks

Record details

Published: 7 August 2026
Source: arXiv cs.AI
Category: Research
Topics: Transparency
Retrieved: 10 August 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (7 August 2026), “Beyond the Black Box: Interpretable Models of Human Randomisation Failures,” evidence record 17930, https://ethics.ai/record/17930 (originally published by arXiv cs.AI).

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