Griffiths, Christian, and Kalish (this issue) present an iterative-learning paradigm applying a Bayesian model to understand inductive biases in categorization. The authors argue that the paradigm is useful as an exploratory tool to understand inductive biases in situations where little is known about the task. It is argued that a theory developed…

N. Stewart, G. D. A. Brown, and N. Chater's relative judgment model includes three core assumptions that enable it to predict accurately the vast majority of "classical" phenomena in absolute identification choices, but not the time taken to make them, including sequential effects, such as assimilation and contrast. These core assumptions, coupled…

N. Stewart, G. D. A. Brown, and N. Chater presented a relative judgment model (RJM) of absolute identification, in which the current stimulus is judged relative to the preceding stimulus. S. Brown, A. A. J. Marley, and Y. Lacouture found that the RJM does not predict their finding of increased accuracy after large stimulus jumps, except at the…

Purpose: This paper is a personal reaction to Gillam and Gillam's treatise on evidence-based decision making in schools. This evaluation focuses principally on the costs and benefits of clinicians' search for external evidence, potential problems associated with efforts to grade that evidence, and the integration of this evidence with "internal"…