• Summary
  • Contents
  • Subject index

An accessible introduction to the principles of computational and mathematical modeling in psychology and cognitive science

This practical and readable work provides students and researchers, who are new to cognitive modeling, with the background and core knowledge they need to interpret published reports, and develop and apply models of their own. The book is structured to help readers understand the logic of individual component techniques and their relationships to each other.

Drawing It All Together: Two Examples
Drawing it all together: Two examples

This chapter draws together the entire material presented so far in two detailed examples. The first example involves the WITNESS model of eyewitness identification (Clark, 2003) and in particular its application to the “verbal overshadowing effect” reported by Clare and Lewandowsky (2004). The second example involves a head-to-head comparison of some models of categorization, thereby illustrating the concepts of model selection developed in Chapter 5.

These two examples illustrate several important contrasts: First, WITNESS is based on a stochastic simulation involving a large number of replications, whereas the categorization models are based on analytic solutions and hence provide predictions that are not subject to sampling variability. Second, WITNESS considers the data at the aggregate level ...

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