TY - GEN
T1 - Cognition in reach
T2 - 37th Annual Meeting of the Cognitive Science Society: Mind, Technology, and Society, CogSci 2015
AU - Alonso-Diaz, Santiago
AU - Cantlon, Jessica F.
AU - Piantadosi, Steven T.
N1 - Publisher Copyright:
© Cognitive Science Society, CogSci 2015.All rights reserved.
PY - 2015
Y1 - 2015
N2 - We study the projection of cognitive representations into continuous motor (reaching) responses with a computational model that unifies three influential approaches: accumulation of evidence, statistical inference, and optimal feedback control. We modeled a number comparison task that asked participants to respond with a reaching gesture which of two side had more dots. The model successfully reproduced subjects' pattern of reach and performance across varying difficulties of numerical comparison. Our model parameterized several potentially relevant cognitive variables, including a threshold, memory decay, and mental sampling rate. Remarkably, a threshold for movement was not needed for modeling human behavior when statistical inference is combined with optimal motor planning. Overall, the model indicates that the motor-system positions the effectors optimally, both biomechanically through an optimal feedback controller, and cognitively by means of continuous statistical inference on the available evidence.
AB - We study the projection of cognitive representations into continuous motor (reaching) responses with a computational model that unifies three influential approaches: accumulation of evidence, statistical inference, and optimal feedback control. We modeled a number comparison task that asked participants to respond with a reaching gesture which of two side had more dots. The model successfully reproduced subjects' pattern of reach and performance across varying difficulties of numerical comparison. Our model parameterized several potentially relevant cognitive variables, including a threshold, memory decay, and mental sampling rate. Remarkably, a threshold for movement was not needed for modeling human behavior when statistical inference is combined with optimal motor planning. Overall, the model indicates that the motor-system positions the effectors optimally, both biomechanically through an optimal feedback controller, and cognitively by means of continuous statistical inference on the available evidence.
KW - Bayesian
KW - Continuous Responses
KW - Number Cognition
KW - Optimality
KW - Threshold
UR - https://www.scopus.com/pages/publications/85139485872
M3 - Conference contribution
AN - SCOPUS:85139485872
T3 - Proceedings of the 37th Annual Meeting of the Cognitive Science Society, CogSci 2015
SP - 90
EP - 95
BT - Proceedings of the 37th Annual Meeting of the Cognitive Science Society, CogSci 2015
A2 - Noelle, David C.
A2 - Dale, Rick
A2 - Warlaumont, Anne
A2 - Yoshimi, Jeff
A2 - Matlock, Teenie
A2 - Jennings, Carolyn D.
A2 - Maglio, Paul P.
PB - The Cognitive Science Society
Y2 - 23 July 2015 through 25 July 2015
ER -