TY - GEN
T1 - A Bayesian Model of Rule Induction in Raven’s Progressive Matrices
AU - Little, Daniel R.
AU - Lewandowsky, Stephan
AU - Griffiths, Thomas L.
N1 - Publisher Copyright:
© CogSci 2012.All rights reserved.
PY - 2012
Y1 - 2012
N2 - Raven’s Progressive Matrices (Raven, Raven, & Court, 1998) is one of the most prevalent assays of fluid intelligence; however, most theoretical accounts of Raven’s focus on producing models which can generate the correct answer but do not fit human performance data. We provide a computational-level theory which interprets rule induction in Raven’s as Bayesian inference. The model computes the posterior probability of each rule in the set of possible rule hypotheses based on whether those rules could have generated the features of the objects in the matrix and the prior probability of each rule. Based on fits to both correct and incorrect response options across both the Standard and Advanced Progressive Matrices, we propose several novel mechanisms that may drive responding to Raven’s items.
AB - Raven’s Progressive Matrices (Raven, Raven, & Court, 1998) is one of the most prevalent assays of fluid intelligence; however, most theoretical accounts of Raven’s focus on producing models which can generate the correct answer but do not fit human performance data. We provide a computational-level theory which interprets rule induction in Raven’s as Bayesian inference. The model computes the posterior probability of each rule in the set of possible rule hypotheses based on whether those rules could have generated the features of the objects in the matrix and the prior probability of each rule. Based on fits to both correct and incorrect response options across both the Standard and Advanced Progressive Matrices, we propose several novel mechanisms that may drive responding to Raven’s items.
KW - Bayesian inference
KW - Raven’s Progressive Matrices
KW - Rule induction
UR - http://www.scopus.com/inward/record.url?scp=85139208180&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85139208180&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85139208180
T3 - Building Bridges Across Cognitive Sciences Around the World - Proceedings of the 34th Annual Meeting of the Cognitive Science Society, CogSci 2012
SP - 1918
EP - 1923
BT - Building Bridges Across Cognitive Sciences Around the World - Proceedings of the 34th Annual Meeting of the Cognitive Science Society, CogSci 2012
A2 - Miyake, Naomi
A2 - Peebles, David
A2 - Cooper, Richard P.
PB - The Cognitive Science Society
T2 - 34th Annual Meeting of the Cognitive Science Society: Building Bridges Across Cognitive Sciences Around the World, CogSci 2012
Y2 - 1 August 2012 through 4 August 2012
ER -