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    Irina Baetu, Itxaso Barberia, Robin A. Murphy & A. G. Baker (2011). Maybe This Old Dinosaur Isn't Extinct: What Does Bayesian Modeling Add to Associationism? Behavioral and Brain Sciences 34 (4):190-191.
    We agree with Jones & Love (J&L) that much of Bayesian modeling has taken a fundamentalist approach to cognition; but we do not believe in the potential of Bayesianism to provide insights into psychological processes. We discuss the advantages of associative explanations over Bayesian approaches to causal induction, and argue that Bayesian models have added little to our understanding of human causal reasoning.
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  2.  34
    A. G. Baker, Irina Baetu & Robin A. Murphy (2009). Propositional Learning is a Useful Research Heuristic but It is Not a Theoretical Algorithm. Behavioral and Brain Sciences 32 (2):199-200.
    Mitchell et al.'s claim, that their propositional theory is a single-process theory, is illusory because they relegate some learning to a secondary memory process. This renders the single-process theory untestable. The propositional account is not a process theory of learning, but rather, a heuristic that has led to interesting research.
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  3.  1
    Kristi Urry, Nicholas R. Burns & Irina Baetu (2015). Accuracy-Based Measures Provide a Better Measure of Sequence Learning Than Reaction Time-Based Measures. Frontiers in Psychology 6.
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