Goal-Directed Decision Making - Edition 1 - Edited by Richard W. Morris, Aaron Bornstein and Amitai Shenhav Elsevier Educate

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Goal-Directed Decision Making,

Edition 1 Computations and Neural Circuits

Edited by Richard W. Morris, Aaron Bornstein and Amitai Shenhav

Publication Date: 24 Aug 2018

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Goal-Directed Decision Making: Computations and Neural Circuits examines the role of goal-directed choice. It begins with an examination of the computations performed by associated circuits, but then moves on to in-depth examinations on how goal-directed learning interacts with other forms of choice and response selection. This is the only book that embraces the multidisciplinary nature of this area of decision-making, integrating our knowledge of goal-directed decision-making from basic, computational, clinical, and ethology research into a single resource that is invaluable for neuroscientists, psychologists and computer scientists alike.

The book presents discussions on the broader field of decision-making and how it has expanded to incorporate ideas related to flexible behaviors, such as cognitive control, economic choice, and Bayesian inference, as well as the influences that motivation, context and cues have on behavior and decision-making.

Key Features

Details the neural circuits functionally involved in goal-directed decision-making and the computations these circuits perform
Discusses changes in goal-directed decision-making spurred by development and disorders, and within real-world applications, including social contexts and addiction
Synthesizes neuroscience, psychology and computer science research to offer a unique perspective on the central and emerging issues in goal-directed decision-making

About the author

Edited by Richard W. Morris, Senior Postdoctoral Fellow, University of New South Wales, Australia; Aaron Bornstein, Postdoctoral Research Associate, Princeton Neuroscience Institute, Princeton University, USA and Amitai Shenhav, Assistant Professor, Department of Cognitive, Linguistic and Psychological Sciences, Brown University

ISBN: 9780128120989

Page Count: 484

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Advanced students and researchers in behavioral neuroscience, cognitive neuroscience, social neuroscience, computational neuroscience, and neuropsychology; secondarily, computer scientists and psychologists interested in decision-making processes

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