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Prescriptive Bayesian decision making has reached a high level of maturity and is well-supported algorithmically. Can we extend existing prescriptive theories for perfect decision makers to make them useful for imperfect ones?
Prescriptive Bayesian decision making has reached a high level of maturity and is well-supported algorithmically. Can we extend existing prescriptive theories for perfect decision makers to make them useful for imperfect ones?