Mathematical Models of Perception and Cognition Volume II
A Festschrift for James T. Townsend
Nonfiction, Health & Well Being, Psychology, History, Neuropsychology, Cognitive Psychology
| Author: | ISBN: | 9781317297482 | |
| Publisher: | Taylor and Francis | Publication: | May 20, 2016 |
| Imprint: | Routledge | Language: | English |
| Author: | |
| ISBN: | 9781317297482 |
| Publisher: | Taylor and Francis |
| Publication: | May 20, 2016 |
| Imprint: | Routledge |
| Language: | English |
In this two volume festschrift, contributors explore the theoretical developments (Volume I) and applications (Volume II) in traditional cognitive psychology domains, and model other areas of human performance that benefit from rigorous mathematical approaches. It brings together former classmates, students and colleagues of Dr. James T. Townsend, a pioneering researcher in the field since the early 1960s, to provide a current overview of mathematical modeling in psychology. Townsend’s research critically emphasized a need for rigor in the practice of cognitive modeling, and for providing mathematical definition and structure to ill-defined psychological topics. The research captured demonstrates how the interplay of theory and application, bridged by rigorous mathematics, can move cognitive modeling forward.
In this two volume festschrift, contributors explore the theoretical developments (Volume I) and applications (Volume II) in traditional cognitive psychology domains, and model other areas of human performance that benefit from rigorous mathematical approaches. It brings together former classmates, students and colleagues of Dr. James T. Townsend, a pioneering researcher in the field since the early 1960s, to provide a current overview of mathematical modeling in psychology. Townsend’s research critically emphasized a need for rigor in the practice of cognitive modeling, and for providing mathematical definition and structure to ill-defined psychological topics. The research captured demonstrates how the interplay of theory and application, bridged by rigorous mathematics, can move cognitive modeling forward.
