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Mathematical Models of Perception and Cognition Volume I

- A Festschrift for James T. Townsend

About Mathematical Models of Perception and Cognition Volume I

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. TownsendΓÇÖs 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.

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  • Language:
  • English
  • ISBN:
  • 9781138125766
  • Binding:
  • Hardback
  • Pages:
  • 284
  • Published:
  • June 1, 2016
  • Dimensions:
  • 150x230x15 mm.
  • Weight:
  • 484 g.
Delivery: 2-3 weeks
Expected delivery: December 12, 2024

Description of Mathematical Models of Perception and Cognition Volume I

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. TownsendΓÇÖs 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.

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