The Cambridge handbook of computational psychology

Introduction to computational cognitive modeling / Ron Sun

Connectionist models of cognition / Michael S. C. Thomas and James L. McClelland

Bayesian models of cognition / Thomas L. Griffiths, Charles Kemp, and Joshua B. Tenenbaum

Dynamical systems approaches to cognition / Gregor Schöner

Declarative/logic-based cognitive modeling / Selmer Bringsjord

Constraints in cognitive architectures / Niels A. Taatgen and John R. Anderson

Computational models of episodic memory / Kenneth A. Norman, Greg Detre, and Sean M. Polyn

Computational models of semantic memory / Timothy T. Rogers

Models of categorization / John K. Kruschke

Micro-process models of decision making / Jerome R. Busemeyer and Joseph G. Johnson

Models of inductive reasoning / Evan Heit

Mental logic, mental models, and simulations of human deductive reasoning / Philip N. Johnson-Laird and Yingrui Yang

Computational models of skill acquisition / Stellan Ohlsson

Computational models of implicit learning / Axel Cleeremans and Zoltán Dienes

Computational models of attention and cognitive control / Nicola De Pisapia, Grega Repovs̋, and Todd S. Braver

Computational models of developmental psychology / Thomas R. Shultz and Sylvain Sirois

Computational models of psycholinguistics / Nick Chater and Morten H. Christiansen

Computational models in personality and social psychology / Stephen J. Read and Brian M. Monroe

Cognitive social simulation / Ron Sun

Models of scientific explanation / Paul Thagard and Abninder Litt

Cognitive modeling for cognitive engineering / Wayne D. Gray

Models of animal learning and their relations to human learning / Francisco J. López and David R. Shanks

Computational modeling of visual informaiton processing / Pawan Sinha and Benjamin J. Balas

Models of motor control / Ferdinando A. Mussa-Ivaldi and Sara A. Solla

Evaluation of computational modeling in cognitive science / Margaret A. Boden

Putting the pieces together again / Aaron Sloman.