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Results 1-10 of 43 (Search time: 0.002 seconds).
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PreviewIssue DateTitleAuthor(s)
2010Rational approximations to rational models: Alternative algorithms for category learningSanborn, A.; Griffiths, T.; Navarro, D.
2017Bayesian models of cognition revisited: setting optimality aside and letting data drive psychological theoryTauber, S.; Navarro, D.; Perfors, A.; Steyvers, M.
2016Learning and choosing in an uncertain world: an investigation of the explore-exploit dilemma in static and dynamic environmentsNavarro, D.; Newell, B.; Schulze, C.
2010Why are some word orders more common than others? A uniform information density accountMaurits, L.; Perfors, A.; Navarro, D.; Neural Information Processing Systems (24th : 2010 : Cambridge)
2010Similarity, feature discovery, and the size principleNavarro, D.; Perfors, A.
2010The effect of causal strength on the use of causal and similarity-based information in feature inferenceStephens, R.; Navarro, D.; Dunn, J.; Lee, M.; Conference of the Australasian Society for Cognitive Science (9th : 2009 : Sydney, Australia)
2012What Bayesian modelling can tell us about statistical learning: what it requires and why it worksPerfors, A.; Navarro, D.
2014Language evolution can be shaped by the structure of the worldPerfors, A.; Navarro, D.
2016Structure at every scale: a semantic network account of the similarities between unrelated conceptsDe Deyne, S.; Navarro, D.; Perfors, A.; Storms, G.
2010Social context effects on the impact of category labelsStephens, R.; Perfors, A.; Navarro, D.; Annual Meeting of the Cognitive Science Society (32nd : 2010 : Portland, Oregon)