Minds at Play

CogSci 2021 Workshop | July 26th, 2021 |

Abstract

Play and curiosity are unmistakable signatures of an active mind. It is perhaps unsurprising then, that recent advances in machine learning and robotics have used algorithmic approximations of curiosity to build artificial agents that explore, learn, and plan more effectively. This burgeoning interest in the computational study of curiosity and exploration is accompanied by a long history of studies linking play and learning in people and animals.


After more than a century of research, what has the cognitive science of play taught us, and what is the path forward? Reaching a field-wide consensus will require conversations between different empirical and computational perspectives. This full-day workshop brings together researchers studying animals, humans, and artificial agents to explore the full complexity of play and its relationship to learning, thinking, and planning.


Full workshop description.

Organizers

Chu

Junyi Chu

Massachusetts Institute of Technology

Schulz

Laura Schulz

Massachusetts Institute of Technology