Dynamical Models of Cognition

• Published in: Springer Handbook of Model-Based Science pp. 639 - 655
• Main Author: Metzger, Mary Ann
• Format: Book Chapter
• Language: English
• Published: Cham Springer International Publishing
• Series: Springer Handbooks
• Subjects: Artificial Neural Network Model; Brain State; External World; Global Attractor; Prospect Theory
• ISBN: 9783319305257; 3319305255
• ISSN: 2522-8692; 2522-8706
• DOI: 10.1007/978-3-319-30526-4_29

Models of cognition address properties of the mind by formulating cognitive processes such as memory, perception, inference, and comprehension of language. Dynamical models of cognition ascribe importance to time and complexity, both of which bring context to behavior. Temporal processes bring into the moment the possibility of memory, feedback, the effects of nonlinear recursion, and the generation of expectation. Complexity brings the possibility of stable patterns of coordination emerging from interaction of subprocesses. In some models, time and complexity have provided a bridge between thought and action, a basis by which to characterize thought and action as inextricably combined. These models hold that action is a component of perception, or that thought and action are inseparable, or that thought and action act in concert, two sides of the same coin serving to reduce the uncertainty about the nature of events. This chapter provides a review of several models of cognition in terms of their dynamical features, including models not generally included in the dynamical tradition, such as ART and ACT-R. It focuses on the manner in which each model treats time and complexity, thought, and action. It provides a glimpse into the methods of model development and analysis associated with the various approaches to modeling cognitive processes.