4 papers
Using Theory of Mind to Arbitrate between Social and Non-social Learning
Lance Ying, Ryan Truong, Joshua B. Tenenbaum +1
The paper proposes a Rational Mentalizing model that uses Theory of Mind to decide when to learn from others versus direct experience, and shows that this model matches human behav…
AI Gamestore: Scalable, Open-Ended Evaluation of Machine General Intelligence with Human Games
Lance Ying, Ryan Truong, Prafull Sharma +9
Rigorously evaluating machine intelligence against the broad spectrum of human general intelligence has become increasingly important and challenging in this era of rapid technolog…
Language-Informed Synthesis of Rational Agent Models for Grounded Theory-of-Mind Reasoning On-The-Fly
Lance Ying, Ryan Truong, Katherine M. Collins +6
Drawing real world social inferences usually requires taking into account information from multiple modalities. Language is a particularly powerful source of information in social…
Belief Attribution as Mental Explanation: The Role of Accuracy, Informativity, and Causality
Lance Ying, Almog Hillel, Ryan Truong +3
A key feature of human theory-of-mind is the ability to attribute beliefs to other agents as mentalistic explanations for their behavior. But given the wide variety of beliefs that…