A Bayesian Recognitional Decision Model

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Crossword expertise as recognitional decision making: an artificial intelligence approach (2014, methodology): “The form we use simpliﬁes the Bayesian calculation in the BRDM model proposed by Mueller (2009) (which makes some of the computations easier on the large corpus), but in practice the rank-order distributions produced by the present model are nearly identical to those produced by the BRDM…”
Associations and manipulations in the mental lexicon: A model of word-stem completion (2014, methodology): “The memory retrieval hypothesis is consistent with theories of naturalistic decision making in a number of domains, which suppose that cues in the environment activate past relevant memories that help us make decisions and solve problems (Klein, 1989; Mueller, 2009).”
Cognitive perspectives on opinion dynamics: the role of knowledge in consensus formation, opinion divergence, and group polarization (2017, background): “The third explanation relies on evidence discounting, which has been studied in a number of contexts (see [52, 53]), and is distinct from bounded inﬂuence.”