Computational Models of Cognition: Part 2 (1:03:57)

Computational Models of Cognition: Part 2 (1:03:57)

Date Posted: 

August 16, 2018

Date Recorded: 

August 16, 2018

CBMM Speaker(s): 

  • Brains, Minds and Machines Summer Course 2018

Associated CBMM Pages: 

Description: 

Josh Tenenbaum, MIT
In this second lecture, Josh Tenenbaum first elaborates on an intuitive physics engine that uses a probabilistic framework combined with inverse graphics, to capture aspects of human understanding of the physical behavior of objects. This physics engine embodies a generative model of the physical world that incorporates uncertainty in a way that enables approximate, intuitive inference and predictions of object behavior. This framework is then used to construct an intuitive psychology engine that enables inferences about the beliefs and desires of other agents, their goals and actions, and social interactions between other agents.

Associated Research Thrust: