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.

Table of Contents

Chapter 1 - Introduction

Chapter 2 - From Words to Models: Building a Toolkit

Chapter 3 - Basic Parameter Estimation Techniques

Chapter 4 - Maximum Likelihood Estimation

Chapter 5 - Parameter Uncertainty and Model Comparison

Chapter 6 - Not Everything That Fits Is Gold: Interpreting the Modeling

Chapter 7 - Drawing It All Together: Two Examples

Chapter 8 - Modeling in a Broader Context

About the Author

Stephan Lewandowsky is an Australian psychologist. He has worked in both the United States and Australia, and is currently based at the University of Bristol, UK, where he is the chair of cognitive psychology at the School of Psychological Science.