Shillcock et al suggest that the preoccupation with simplicity in cognitive modeling has been detrimental to the discipline. They propose instead an approach in which the complexity of the real world should be the objective of modelers. We discuss some of the difficulties in achieving this goal from the standpoint of quantitative methods of model selection.
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