Digital Companions for Goal-Setting, Goal-Achievement, and Self-Improvement
Computing Optimal Sub-Goals
A Gamified App that Helps People Overcome Self-Limiting Beliefs by Promoting Metacognition
Helping People Choose Their Values
A Digital Companion That Helps People Achieve Their Goals
Development of Measures for Goal Setting and Pursuit
Value-Driven Hierarchical Goal-Setting
Effective Goal-Setting
AI for Productivity
Solve Education
Intelligent Cognitive Prostheses
Computing Optimal Incentive Structures
Executive Functions Training
Human Planning and Decision-Making
We investigate which cognitive strategies people use for planning and decision-making. Our approach combines new empirical and computational methods for inferring the cognitive strategies of human planning from observable behavior [] with resource-rational analysis [], computational modeling, and large scale online experiments. We have developed a resource-rational model of the computational mechanisms of human planning [], empirically characterized the corresponding strategies of human planning [], and derived common strategies of financial decision-making under uncertainty from the principle of resource rationality [].
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