3 citations · 7 across the 7 of their papers we have counts for
3 papers · 1 filter
Causal Explanations for Sequential Decision-Making in Multi-Agent Systems
Balint Gyevnar, Cheng Wang, Christopher G. Lucas +2
We present CEMA: Causal Explanations in Multi-Agent systems; a framework for creating causal natural language explanations of an agent's decisions in dynamic sequential multi-agent…
Actively learning to learn causal relationships
Chentian Jiang, Christopher G. Lucas
How do people actively learn to learn? That is, how and when do people choose actions that facilitate long-term learning and choosing future actions that are more informative? We e…
Building Object-based Causal Programs for Human-like Generalization
Bonan Zhao, Christopher G. Lucas, Neil R. Bramley
We present a novel task that measures how people generalize objects' causal powers based on observing a single (Experiment 1) or a few (Experiment 2) causal interactions between ob…