TY - JOUR
T1 - Deciding How To Decide
T2 - Self-Control and Meta-Decision Making
AU - Boureau, Y. Lan
AU - Sokol-Hessner, Peter
AU - Daw, Nathaniel D.
N1 - Funding Information:
This work was partially supported by a Junior Fellow award from the Simons Foundation (Y.L.B.), an award in understanding human cognition from the James S. McDonnell Foundation (N.D.), and support from Google DeepMind (N.D.). We thank Peter Dayan for helpful discussions.
Publisher Copyright:
© 2015 Elsevier Ltd.
PY - 2015/11
Y1 - 2015/11
N2 - Many different situations related to self control involve competition between two routes to decisions: default and frugal versus more resource-intensive. Examples include habits versus deliberative decisions, fatigue versus cognitive effort, and Pavlovian versus instrumental decision making. We propose that these situations are linked by a strikingly similar core dilemma, pitting the opportunity costs of monopolizing shared resources such as executive functions for some time, against the possibility of obtaining a better outcome. We offer a unifying normative perspective on this underlying rational meta-optimization, review how this may tie together recent advances in many separate areas, and connect several independent models. Finally, we suggest that the crucial mechanisms and meta-decision variables may be shared across domains.
AB - Many different situations related to self control involve competition between two routes to decisions: default and frugal versus more resource-intensive. Examples include habits versus deliberative decisions, fatigue versus cognitive effort, and Pavlovian versus instrumental decision making. We propose that these situations are linked by a strikingly similar core dilemma, pitting the opportunity costs of monopolizing shared resources such as executive functions for some time, against the possibility of obtaining a better outcome. We offer a unifying normative perspective on this underlying rational meta-optimization, review how this may tie together recent advances in many separate areas, and connect several independent models. Finally, we suggest that the crucial mechanisms and meta-decision variables may be shared across domains.
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U2 - 10.1016/j.tics.2015.08.013
DO - 10.1016/j.tics.2015.08.013
M3 - Review article
AN - SCOPUS:84945897192
SN - 1364-6613
VL - 19
SP - 700
EP - 710
JO - Trends in Cognitive Sciences
JF - Trends in Cognitive Sciences
IS - 11
ER -