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  • Published: 18 May 2021
  • ISBN: 9780262044967
  • Imprint: MIT Press
  • Format: Hardback
  • Pages: 304
  • RRP: $145.00

Cognitive Choice Modeling



The emerging interdisciplinary field of cognitive choice models integrates theory and recent research findings from both decision process and choice behavior.

The emerging interdisciplinary field of cognitive choice models integrates theory and recent research findings from both decision process and choice behavior.

Cognitive decision processes provide the interface between the environment and brain, enabling choice behavior, and the basic cognitive mechanisms underlying decision processes are fundamental to all fields of human activity. Yet cognitive processes and choice processes are often studied separately, whether by decision theorists, consumer researchers, or social scientists. In Cognitive Choice Modeling, Zheng Joyce Wang and Jerome R. Busemeyer introduce a new cognitive modeling approach to the study of human choice behavior. Integrating recent research findings from both cognitive science and choice behavior, they lay the groundwork for the emerging interdisciplinary field of cognitive choice modeling.

  • Published: 18 May 2021
  • ISBN: 9780262044967
  • Imprint: MIT Press
  • Format: Hardback
  • Pages: 304
  • RRP: $145.00

Praise for Cognitive Choice Modeling

"The authors' own research has had an enormous impact in the development of decision theory and choice models. The book is very likely to be the authoritative treatment of choice models for many years to come." --Emmanuel Pothos

"No other book gives this rigorous presentation....No other books gives this close integration of reinforcement learning and choice, and no other book offers such a intelligible description of novel perspectives such as decision neuroscience and quantum choice models....I adore the successful balance between a comprehensive discussion of the behavioral findings and a careful presentation of the existing theories." --Reinhard Blutner

"Makes a nice contribution to the field, and would be appropriate for any advanced undergraduate with some math/stats background, or any entry-level graduate student." --Professor Brandon M. Turner