6 papers
Communicate-Predict-Act: Evaluating Social Intelligence of Agents
David Shoresh, Sarit Kraus, Yonatan Loewenstein
As large language model (LLM) agents become more prevalent in real world social settings, social intelligence will play an increasingly critical role. But social intelligence is st…
Subject Matter Expertise vs Professional Management in Collective Sequential Decision Making
David Shoresh, Yonatan Loewenstein
Your company's CEO is retiring. You search for a successor. You can promote an employee from the company familiar with the company's operations, or recruit an external professional…
Two pathways to resolve relational inconsistencies
Tomer Barak, Yonatan Loewenstein
When individuals encounter observations that violate their expectations, when will they adjust their expectations and when will they maintain them despite these observations? For e…
Is there Value in Reinforcement Learning?
Lior Fox, Yonatan Loewenstein
Action-values play a central role in popular Reinforcement Learing (RL) models of behavior. Yet, the idea that action-values are explicitly represented has been extensively debated…
Modeling the Centaur: Human-Machine Synergy in Sequential Decision Making
David Shoresh, Yonatan Loewenstein
The field of collective intelligence studies how teams can achieve better results than any of the team members alone. The special case of human-machine teams carries unique challen…
Untrained neural networks can demonstrate memorization-independent abstract reasoning
Tomer Barak, Yonatan Loewenstein
The nature of abstract reasoning is a matter of debate. Modern artificial neural network (ANN) models, like large language models, demonstrate impressive success when tested on abs…