Decision-making often involves trial and error, but conventional models assume we always act optimally based on past experience. A new study used small, interpretable artificial neural networks to uncover how humans and animals actually make choices--revealing the suboptimal strategies we often use.
Decision-making often involves trial and error, but conventional models assume we always act optimally based on past experience. A new study used small, interpretable artificial neural networks to uncover how humans and animals actually make choices--revealing the suboptimal strategies we often use.
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