TY - JOUR
T1 - Cortical substrates for exploratory decisions in humans
AU - Daw, Nathaniel D.
AU - O'Doherty, John P.
AU - Dayan, Peter
AU - Seymour, Ben
AU - Dolan, Raymond J.
N1 - Funding Information:
Acknowledgements We thank J. Li, S. McClure, B. King-Casas and P. R. Montague for sharing their unpublished data on exploration, and Y. Niv, Z. Gharamani and C. Camerer for discussions. Funding was from a Royal Society USA Research Fellowship (N.D.), the Gatsby Foundation (N.D., P.D.), the EU BIBA project (N.D., P.D.), and a Wellcome Trust Programme Grant (J.O.D., R.D.).
PY - 2006/6/15
Y1 - 2006/6/15
N2 - Decision making in an uncertain environment poses a conflict between the opposing demands of gathering and exploiting information. In a classic illustration of this 'exploration-exploitation' dilemma, a gambler choosing between multiple slot machines balances the desire to select what seems, on the basis of accumulated experience, the richest option, against the desire to choose a less familiar option that might turn out more advantageous (and thereby provide information for improving future decisions). Far from representing idle curiosity, such exploration is often critical for organisms to discover how best to harvest resources such as food and water. In appetitive choice, substantial experimental evidence, underpinned by computational reinforcement learning (RL) theory, indicates that a dopaminergic, striatal and medial prefrontal network mediates learning to exploit. In contrast, although exploration has been well studied from both theoretical and ethological perspectives, its neural substrates are much less clear. Here we show, in a gambling task, that human subjects' choices can be characterized by a computationally well-regarded strategy for addressing the explore/exploit dilemma. Furthermore, using this characterization to classify decisions as exploratory or exploitative, we employ functional magnetic resonance imaging to show that the frontopolar cortex and intraparietal sulcus are preferentially active during exploratory decisions. In contrast, regions of striatum and ventromedial prefrontal cortex exhibit activity characteristic of an involvement in value-based exploitative decision making. The results suggest a model of action selection under uncertainty that involves switching between exploratory and exploitative behavioural modes, and provide a computationally precise characterization of the contribution of key decision-related brain systems to each of these functions.
AB - Decision making in an uncertain environment poses a conflict between the opposing demands of gathering and exploiting information. In a classic illustration of this 'exploration-exploitation' dilemma, a gambler choosing between multiple slot machines balances the desire to select what seems, on the basis of accumulated experience, the richest option, against the desire to choose a less familiar option that might turn out more advantageous (and thereby provide information for improving future decisions). Far from representing idle curiosity, such exploration is often critical for organisms to discover how best to harvest resources such as food and water. In appetitive choice, substantial experimental evidence, underpinned by computational reinforcement learning (RL) theory, indicates that a dopaminergic, striatal and medial prefrontal network mediates learning to exploit. In contrast, although exploration has been well studied from both theoretical and ethological perspectives, its neural substrates are much less clear. Here we show, in a gambling task, that human subjects' choices can be characterized by a computationally well-regarded strategy for addressing the explore/exploit dilemma. Furthermore, using this characterization to classify decisions as exploratory or exploitative, we employ functional magnetic resonance imaging to show that the frontopolar cortex and intraparietal sulcus are preferentially active during exploratory decisions. In contrast, regions of striatum and ventromedial prefrontal cortex exhibit activity characteristic of an involvement in value-based exploitative decision making. The results suggest a model of action selection under uncertainty that involves switching between exploratory and exploitative behavioural modes, and provide a computationally precise characterization of the contribution of key decision-related brain systems to each of these functions.
UR - http://www.scopus.com/inward/record.url?scp=33745223257&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33745223257&partnerID=8YFLogxK
U2 - 10.1038/nature04766
DO - 10.1038/nature04766
M3 - Article
C2 - 16778890
AN - SCOPUS:33745223257
SN - 0028-0836
VL - 441
SP - 876
EP - 879
JO - Nature
JF - Nature
IS - 7095
ER -