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Mathematical Models of Perception and Cognition Volume II

- A Festschrift for James T. Townsend

Om Mathematical Models of Perception and Cognition Volume II

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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  • Språk:
  • Engelsk
  • ISBN:
  • 9781138600270
  • Bindende:
  • Paperback
  • Sider:
  • 252
  • Utgitt:
  • 27. april 2018
  • Dimensjoner:
  • 227x151x27 mm.
  • Vekt:
  • 402 g.
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 22. januar 2025

Beskrivelse av Mathematical Models of Perception and Cognition Volume II

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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