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
Computational Models of Goal Pursuit
In this project, we are developing a computational-level theory of human goal-pursuit based on the principle of resource rationality. Our theory assumes that our limited attention and planning ability constrain our capacity to pursue goals. We formalize this theory with a computational model based on sparse-max hill-climbing [Mohnert, Tosic, & Lieder 2019]. We are also working on using this model to augment humans’ ability to achieve their goals. Building on our computational models of goal-pursuit, this project develops a resource-rational theory of the function of goal-setting.
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