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…

Strategic differences in spatial tasks are explained in terms of different cognitive coordinate systems that subjects adopt such as standard versus arbitrary, task-defined axes. A theoretical account of mental rotation of individuals of low and high spatial ability solving problems from psychometric tests is instantiated as computer simulation…