A cutting-edge reference source for the interdisciplinary field of computational cognitive modeling.This book is a definitive reference source for the growing, increasingly more important, and interdisciplinary field of computational cognitive modeling. Research in computational cognitive modeling explores cognition through developing detailed, process-based understanding by specifying computational mechanisms, structures, and processes. This book substantiates this approach through overviews and many examples.This book is a definitive reference source for the growing, increasingly more important, and interdisciplinary field of computational cognitive modeling. Research in computational cognitive modeling explores cognition through developing detailed, process-based understanding by specifying computational mechanisms, structures, and processes. This book substantiates this approach through overviews and many examples.This book is a definitive reference source for the growing, increasingly more important, and interdisciplinary field of computational cognitive modeling, that is, computational psychology. It combines breadth of coverage with definitive statements by leading scientists in this field. Research in computational cognitive modeling explores the essence of cognition through developing detailed, process-based understanding by specifying computational mechanisms, structures, and processes. Computational models provide both conceptual clarity and precision at the same time. This book substantiates this approach through overviews and many examples.Part I. Introduction: 1. Introduction to computational cognitive modeling Ron Sun; Part II. Cognitive Modeling Paradigms: 2. Connectionist models of cognition Michael Thomas and James McClelland; 3. Bayesian models of cognition Thomas Griffiths, Charles Kemp, and Joshua Tenenbaum; 4. Dynamical systems approaches to cognition Gregor Schoener; 5. Declarative/ logic-based computational cognitive modeling Selmer Bringsjorlcã