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Goal-Directed Decision Making

Computations and Neural Circuits

  • 1st Edition - August 23, 2018
  • Latest edition
  • Editors: Richard W. Morris, Aaron Bornstein, Amitai Shenhav
  • Language: English

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 associate… Read more

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Description

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

Readership

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

Table of contents

1. Actions and Habits: Psychological Issues in Dual Process Theory

Computations

2. Instrumental Divergence and Goal-Directed Choice

3. Temporal Dynamics of Goal-Directed Decision Making

4. Episodic Memory Influences on Goal-Directed Decision Making

5. Structure Learning

6. Simulation and Evaluation in Deliberative Decision Making

7. Competition and Cooperation between Multiple RL Systems

Neuroscience

8. Cortical Determinants of Goal-Directed Action

9. Distinct Functional Microcircuits in the Nucleus Accumbens Underlying Goal-Directed Decision Making

10. Striatal Cholinergic Interneurons and Goal-Directed Learning

11. Dopaminergic Prediction Errors and the Acquisition of Model-Based Behavior

12. The Role of the Orbitofrontal Cortex in Reinforcement Learning and Goal-Directed Decision Making

Applications

13. The Development of Goal-Directed Decision Making

14. Social Behavior

15. Goal-Directed Deficits in Psychosis

16. Goal-Directed Action in Disorders of Compulsivity

17. Drug Addiction: Augmented Habit Learning or Failure of Goal-Directed Control?

18. Alpha-Go

Open Questions

19. Realigning Models of Habitual and Goal-Directed Decision Making

20. Motivations of Action and Reward

Product details

  • Edition: 1
  • Latest edition
  • Published: August 23, 2018
  • Language: English

About the editors

RM

Richard W. Morris

Dr Richard W. Morris has studied learning and decision-making in multiple species, including rodents, monkeys and humans. He has distinguished novel computational mechanisms in the brain during goal-directed learning in humans and revealed a novel source of goal-directed deficits in psychosis. He completed his PhD in Psychology at the University of New South Wales, and since then his work has been supported by NARSAD, the Australian NHMRC and the Schizophrenia Research Institute. His research has been featured in top ranked journals including Molecular Psychiatry and Nature Communications, as well as numerous mainstream media, including Australia’s national broadcaster (ABC Science), ScienceDaily, and Motherboard Vice.
Affiliations and expertise
Senior Postdoctoral Fellow, University of New South Wales, Australia

AB

Aaron Bornstein

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.
Affiliations and expertise
Postdoctoral Research Associate, Princeton Neuroscience Institute, Princeton University, USA

AS

Amitai Shenhav

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.
Affiliations and expertise
Assistant Professor, Department of Cognitive, Linguistic and Psychological Sciences, Brown University

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