Daniel J. Navarro

University of Adelaide, Adelaide, South Australia, Australia 
Higher-order cognition
"Daniel Navarro"
Mean distance: 24.73 (cluster 23)
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Navarro DJ, Kemp C. (2017) None of the Above: A Bayesian Account of the Detection of Novel Categories. Psychological Review
Kennedy LA, Navarro DJ, Perfors A, et al. (2017) Not every credible interval is credible: Evaluating robustness in the presence of contamination in Bayesian data analysis. Behavior Research Methods
Tauber S, Navarro DJ, Perfors A, et al. (2017) Bayesian Models of Cognition Revisited: Setting Optimality Aside and Letting Data Drive Psychological Theory. Psychological Review
Martire KA, Edmond G, Navarro DJ, et al. (2017) On the likelihood of "encapsulating all uncertainty". Science & Justice : Journal of the Forensic Science Society. 57: 76-79
De Deyne S, Navarro DJ, Perfors A, et al. (2016) Structure at every scale: A semantic network account of the similarities between unrelated concepts. Journal of Experimental Psychology. General. 145: 1228-54
Navarro DJ, Newell BR, Schulze C. (2016) Learning and choosing in an uncertain world: An investigation of the explore-exploit dilemma in static and dynamic environments. Cognitive Psychology. 85: 43-77
Gökaydin D, Navarro DJ, Ma-Wyatt A, et al. (2015) The Structure of Sequential Effects. Journal of Experimental Psychology. General
Ransom KJ, Perfors A, Navarro DJ. (2015) Leaping to Conclusions: Why Premise Relevance Affects Argument Strength. Cognitive Science
Vong WK, Navarro DJ, Perfors A. (2015) The helpfulness of category labels in semi-supervised learning depends on category structure. Psychonomic Bulletin & Review
Fuss IG, Navarro DJ. (2013) Open parallel cooperative and competitive decision processes: a potential provenance for quantum probability decision models. Topics in Cognitive Science. 5: 818-43
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