机读格式显示(MARC)

• 000 03856cam a2200361 i 4500

• 001 0000728303

• 003 SCNU

• 005 20200929171700.0

• 008 180213s2018 maua b 001 0 eng d

• 020 __ |a 0128120983 (paperback)

• 020 __ |a 9780128120989 (paperback)

• 040 __ |a YDX |b eng |e rda |c YDX |d NDD |d OCLCF

• 050 _4 |a BF448 |b .G635 2018

• 093 __ |a C934 |2 5

• 099 __ |a CAL 022019022826

• 245 00 |a Goal directed decision making : |b computations and neural circuits / |c edited by Richard Morris, Aaron Bornstein, Amitai Shenhav.

• 246 30 |a Computations and neural circuits

• 264 _1 |a Cambridge, MA : |b Academic Press, |c [2018].

• 300 __ |a xvi, 468 pages : |b illustrations ; |c 24 cm.

• 336 __ |a text |2 rdacontent

• 337 __ |a unmediated |2 rdamedia

• 338 __ |a volume |2 rdacarrier

• 504 __ |a Includes bibliographical references and index.

• 505 0_ |a 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

• 505 8_ |a 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

• 505 8_ |a 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

• 520 __ |a 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.

• 650 _0 |a Decision making.

• 700 1_ |a Morris, Richard, |e editor.

• 700 1_ |a Bornstein, Aaron, |e editor.

• 700 1_ |a Shenhav, Amitai, |e editor.

• 920 __ |a 242430 |z 1

• 950 __ |a SCNU |f C934/M877