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Hybrid Model Reveals People Act Less Rationally In Complex Games, More Predictably In Simple Ones


alternative_right shares a report from Phys.org: Researchers at Princeton University, Boston University and other institutes used machine learning to predict the strategic decisions of humans in various games. Their paper, published in Nature Human Behavior, shows that a deep neural network trained...

[...] Essentially, the team suggests that people behave more rationally while playing games that they perceive as easier. In contrast, when they are playing more complex games, people's choices could be influenced by various other factors, thus the "noise" affecting their behavior would increase. "We now have strong evidence that introducing context-dependence into the quantal response model significantly improves its ability to capture human strategic behavior.

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