Existing cognitive models of planning (e.g., in games like chess) tend to pre-specify possible planning models as anchored to classic algorithms, such as MDP solvers and stochastic search. In contrast, people likely maintain and learn an evolving library of planning strategies encoded as mental programs, and grow this library through experience. In this project, we explore approaches to modeling how such libraries of programs evolve and grow through social interaction and experience. We will work in collaboration with cognitive and developmental psychologists to build AI that can grow and learn like a child.

Accepting: PhD students

Express your interest in working with Dr. Marta Kryven .

When contacting us about your interest in a particular professor or fellowship, please include your:

• Research interests
• Past research experience
• Recent CV

Dalhousie's Faculty of Computer Science offers competitive funding to qualified graduate students and is committed to promoting excellence in research and teaching.