• 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.

Modeling in a Broader Context
Modeling in a broader context

Earlier in this book, in Section 2.6, we considered what it actually means to have an “explanation” for something. We discovered that explanations exist not in a vacuum but within a psychological context; that is, they must be understood in order to have any value (if this sounds mysterious, you may wish to refer back to Section 2.6.3 before proceeding). We then introduced material in the next five chapters that is required for the construction of satisfactory psychological explanations. Most of our discussion, including the detailed examples in the preceding chapter, involved models that were formulated to provide a process explanation (see Section 1.4.4).

The purpose of this final chapter is to present several additional avenues to ...

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