Decision Making , Movement Planning , 1 and Statistical Decision Theory

37 We discuss behavioral studies directed at understanding how probability 38 information is represented in motor and economic tasks. By formulating the behavioral 39 tasks in the language of statistical decision theory, we can compare performance in 40 equivalent tasks in different domains. Subjects in traditional economic decision-making 41 tasks often misrepresent the probability of rare events and typically fail to maximize 42 expected gain. In contrast, subjects in mathematically equivalent movement tasks often 43 choose movement strategies that come close to maximizing expected gain. We discuss 44 the implications of these different outcomes, noting the evident differences between the 45 source of uncertainty and how information about uncertainty is acquired in motor and 46 economic tasks. 47 48