TY - GEN
T1 - A simple decision task in a social context
T2 - 47th IEEE Conference on Decision and Control, CDC 2008
AU - Nedic, A.
AU - Tomlin, D.
AU - Holmes, P.
AU - Prentice, D. A.
AU - Cohen, J. D.
PY - 2008
Y1 - 2008
N2 - To investigate the influence of input from fellow group members in a constrained decision-making context, we consider a game in which subjects freely select one of two options (A or B), and are informed of the reward resulting from that choice following each trial. Rewards are computed based on the fraction × of past A choices by two functions fA (x), f B (x) (unknown to the subject) which intersect at a matching point x̄ that does not generally represent globally optimal behavior. Playing individually, subjects typically remain close to the matching point, although some discover the optimum. We investigate the effects of additional feedback regarding the choices and reward scores of other players. We generalize a drift-diffusion model, commonly used to model individual decision making, to incorporate feedback from other players, study the resulting coupled stochastic differential equations, and compare the distributions of choices that they predict with those produced by a pool of subjects playing in groups of five without feedback and with feedback on other players' choices.
AB - To investigate the influence of input from fellow group members in a constrained decision-making context, we consider a game in which subjects freely select one of two options (A or B), and are informed of the reward resulting from that choice following each trial. Rewards are computed based on the fraction × of past A choices by two functions fA (x), f B (x) (unknown to the subject) which intersect at a matching point x̄ that does not generally represent globally optimal behavior. Playing individually, subjects typically remain close to the matching point, although some discover the optimum. We investigate the effects of additional feedback regarding the choices and reward scores of other players. We generalize a drift-diffusion model, commonly used to model individual decision making, to incorporate feedback from other players, study the resulting coupled stochastic differential equations, and compare the distributions of choices that they predict with those produced by a pool of subjects playing in groups of five without feedback and with feedback on other players' choices.
UR - http://www.scopus.com/inward/record.url?scp=62949181399&partnerID=8YFLogxK
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U2 - 10.1109/CDC.2008.4739153
DO - 10.1109/CDC.2008.4739153
M3 - Conference contribution
AN - SCOPUS:62949181399
SN - 9781424431243
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 1115
EP - 1120
BT - Proceedings of the 47th IEEE Conference on Decision and Control, CDC 2008
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 9 December 2008 through 11 December 2008
ER -