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Issue Date	Title	Author(s)
2016	Learning and choosing in an uncertain world: an investigation of the explore-exploit dilemma in static and dynamic environments	Navarro, D.; Newell, B.; Schulze, C.
2012	What Bayesian modelling can tell us about statistical learning: what it requires and why it works	Perfors, A.; Navarro, D.; Rebuschat, P.; Williams, J.
2015	How do people learn from negative evidence? Non-monotonic generalizations and sampling assumptions in inductive reasoning	Voorspoels, W.; Navarro, D.; Perfors, A.; Ransom, K.; Storms, G.
2008	Latent Features in Similarity Judgments: A Nonparametric Bayesian Approach	Navarro, D.; Griffiths, T.
2007	A Bayesian approach to diffusion models of decision-making and response time	Lee, M.; Fuss, I.; Navarro, D.; Annual Conference on Neural Information Processing Systems (20th : 2006 : Vancouver, Canada)
2014	Language evolution can be shaped by the structure of the world	Perfors, A.; Navarro, D.
2009	NML, Bayes and true distributions: A comment on Karabatsos and Walker (2006)	Grunwald, P.; Navarro, D.
2007	Does response scaling cause the generalized context model to mimic a prototype model?	Myung, J.; Pitt, M.; Navarro, D.
2006	Model selection by normalized maximum likelihood	Myung, J.; Navarro, D.; Pitt, M.
2012	Seeing is believing: priors, trust, and base rate neglect	Welsh, M.; Navarro, D.