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Many bad decisions and their devastating consequences could be avoided if people used optimal decision strategies. Here, we introduce a new approach to improving human decision-making. The basic idea is to give people feedback on \textit{how} they reach their decisions. We develop a method that leverages artificial intelligence to generate this feedback in such a way that people quickly discover the best possible decision strategies. Our empirical findings suggest that this new approach leads to improvements in decision-making competence that transfer to more difficult decisions in more complex environments. In the long run, this line of work might lead to apps that teach people clever strategies for decision making, reasoning, goal-setting, planning, and goal achievement.
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