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Found 6 papers, 2 papers with code
Modeling human intention inference in continuous 3D domains by inverse planning and body kinematics
We describe Generative Body Kinematics model, which predicts human intention inference in this domain using Bayesian inverse planning and inverse body kinematics.
Communicating Natural Programs to Humans and Machines
We present LARC, the \textit{Language-complete ARC}: a collection of natural language descriptions by a group of human participants who instruct each other on how to solve ARC tasks using language alone, which contains successful instructions for 88\% of the ARC tasks.
Vector-based Pedestrian Navigation in Cities
How do pedestrians choose their paths within city street networks?
Learning abstract structure for drawing by efficient motor program induction
Humans flexibly solve new problems that differ qualitatively from those they were trained on.
Program Synthesis with Pragmatic Communication
Given a specification, we score a candidate program both on its consistency with the specification, and also whether a rational speaker would chose this particular specification to communicate that program.
