http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
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.
Front Cover; Goal-Directed Decision Making; Goal-Directed Decision Making: Computations and Neural Circuits; Copyright; CONTENTS; CONTRIBUTORS; PREFACE; 1 -- Actions and Habits: Psychological Issues in Dual-System Theory; DESIRE CRITERION; BELIEF CRITERION; HABITS; The motivation of habits; Outcome expectations and habits; DUAL-SYSTEM THEORIES OF INSTRUMENTAL LEARNING; Rate correlational theory; Ratio and interval training; Extended training; Choice training; Avoidance; System integration; LOOKING TO THE FUTURE; APPENDIX: SIMULATION OF RATE CORRELATION DUAL-SYSTEM THEORY; REFERENCES
2 -- Instrumental Divergence and Goal-Directed ChoiceINTRODUCTION; AN INFORMATION-THEORETIC FORMALIZATION OF INSTRUMENTAL DIVERGENCE; NEURAL CORRELATES OF INSTRUMENTAL DIVERGENCE; INSTRUMENTAL DIVERGENCE AND THE INTRINSIC UTILITY OF CONTROL; INSTRUMENTAL DIVERGENCE AS A BOUNDARY CONDITION ON GOAL-DIRECTEDNESS; OPEN QUESTIONS AND CONCLUDING REMARKS; ACKNOWLEDGMENTS; REFERENCES; 3 -- The Temporal Dynamics of Reward-Based Goal-Directed Decision-Making; THE DRIFT-DIFFUSION MODEL; SIMPLE BINARY CHOICE; MULTISTEP DRIFT-DIFFUSION MODELS; A BAYESIAN PERSPECTIVE ON MULTISTEP CHOICE; CONCLUDING REMARKS
HOW CAN WE EXAMINE EPISODIC FUTURE THINKING/MENTAL TIME TRAVEL?OPEN QUESTIONS; How are sequences generated?; How much do sequences improve/increase/predict planning?; Can theta sequences go backward?; CONCLUDING THOUGHTS; REFERENCES; 7 -- Competition and Cooperation Between Multiple Reinforcement Learning Systems; INTRODUCTION; MODEL-FREE AND MODEL-BASED CONTROL IN REINFORCEMENT LEARNING; PRINCIPLES OF COMPETITION; Distinguishing habit from planning in humans; Arbitration between habit and planning as a cost-benefit trade-off; Control-reward trade-off in the two-step task
edited by Richard Morris, Aaron Bornstein, Amitai Shenhav.
Includes bibliographical references and index.