Abstract:
:We discuss behavioral studies directed at understanding how probability information is represented in motor and economic tasks. By formulating the behavioral tasks in the language of statistical decision theory, we can compare performance in equivalent tasks in different domains. Subjects in traditional economic decision-making tasks often misrepresent the probability of rare events and typically fail to maximize expected gain. By contrast, subjects in mathematically equivalent movement tasks often choose movement strategies that come close to maximizing expected gain. We discuss the implications of these different outcomes, noting the evident differences between the source of uncertainty and how information about uncertainty is acquired in motor and economic tasks.
journal_name
Trends Cogn Scijournal_title
Trends in cognitive sciencesauthors
Trommershäuser J,Maloney LT,Landy MSdoi
10.1016/j.tics.2008.04.010subject
Has Abstractpub_date
2008-08-01 00:00:00pages
291-7issue
8eissn
1364-6613issn
1879-307Xpii
S1364-6613(08)00153-8journal_volume
12pub_type
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