Goal-Directed Decision Making (Paperback)
Language: English
Published by Elsevier Science Publishing Co Inc, San Diego, 2018
- Softcover
- New
Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
AbeBooks seller since June 22, 2007
Condition: New
£ 222.40
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Paperback. Goal-Directed Decision Making: Computations and Neural Circuits Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Seller Inventory # 9780128120989
- Title
- Goal-Directed Decision Making (Paperback)
- Author
- Richard W. Morris
- Publisher
- Elsevier Science Publishing Co Inc, San Diego
- Publication year
- 2018
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 10
- 0128120983
- ISBN 13
- 9780128120989
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.
"Synopsis" may belong to another edition of this title.
About the Author
Dr Aaron M. Bornstein was trained in mathematics and computer science before obtaining his PhD in Cognition & Perception from New York University. His work has helped us understand how decision-making can be understood in computational terms, merging ideas from computational reinforcement learning with the rich understanding of learning and memory systems in the brain to investigate multiple forms of goal-directed choice. Beginning at NYU and continuing into his current position at the Princeton Neuroscience Institute, he has distinguished important cortical and subcortical contributions to learning and decision-making and his reviews have helped forge a rapprochement across the disparate fields of psychology, neuroscience and computer science.
Amitai Shenhav earned a B.A. in Cognitive Science from UC Berkeley in 2005 and a Ph.D. in Psychology from Harvard University in 2012. After completing his graduate work, he was a C.V. Starr Postdoctoral Fellow at Princeton University before arriving at Brown. His research investigates neural and computational mechanisms at the intersection of decision-making and cognitive control.
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AussieBookSeller
Truganina, VIC, Australia
AbeBooks seller since June 22, 2007
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