Goal-directed decision making : computations and neural circuits /

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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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Morris, Richard (Editor ), Bornstein, Aaron (Editor ), Shenhav, Amitai (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge, MA : Academic Press, [2018]
Temas:
Decision making.
Decision Making
Prise de décision.
decision making.
PSYCHOLOGY > Cognitive Psychology.
SCIENCE > Cognitive Science.
Decision making
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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

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