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CogSci 2016

Speakers

Reverse-Engineering Human Social Cognition for Building Human-Robot Collaboration with Bayesian Theory-of-Mind

Reverse-Engineering Human Social Cognition for Building Human-Robot Collaboration with Bayesian Theory-of-Mind

Bertram F. Malle
Brown Univ.

How Scenes Activate Social and Moral Norms: Theory and Preliminary Results

Kenneth D. Forbus
Northwestern Univ.

Analogy and Qualitative Representations in Physical and Social Understanding

Comparing and integrating approaches for common-sense scene understanding: probabilistic programs, qualitative heuristics, and neural networks

Norman I. Badler
Univ. of Pennsylvania

Human Simulation, Personality, Stereotypes, and Narratives

Integrating a Physics Engine with Deep Learning for Human-like Physical Scene Perception

3D Deep Learning for Robot Perception

Organizers

Tao Gao
MIT

Computational Cognitive Science lab

Computational Cognitive Science lab

Computational Cognitive Science lab

Lap-Fai Yu
UMass Boston

Graphics and Virtual Environments Lab

Computer Graphics & Vision Laboratory

Yixin Zhu
UCLA

Center for Vision, Cognition, Learning & Autonomy

Computational Cognitive Science lab