3 citations · 4 across the 5 of their papers we have counts for
5 papers
Validating Generative Agent-Based Models of Social Norm Enforcement: From Replication to Novel Predictions
Logan Cross, Nick Haber, Daniel L. K. Yamins
As large language models (LLMs) advance, there is growing interest in using them to simulate human social behavior through generative agent-based modeling (GABM). However, validati…
Understanding Human Limits in Pattern Recognition: A Computational Model of Sequential Reasoning in Rock, Paper, Scissors
Logan Cross, Erik Brockbank, Tobias Gerstenberg +3
How do we predict others from patterns in their behavior and what are the computational constraints that limit this ability? We investigate these questions by modeling human behavi…
FactorSim: Generative Simulation via Factorized Representation
Fan-Yun Sun, S. I. Harini, Angela Yi +6
Generating simulations to train intelligent agents in game-playing and robotics from natural language input, from user input or task documentation, remains an open-ended challenge.…
Hypothetical Minds: Scaffolding Theory of Mind for Multi-Agent Tasks with Large Language Models
Logan Cross, Violet Xiang, Agam Bhatia +2
Multi-agent reinforcement learning (MARL) methods struggle with the non-stationarity of multi-agent systems and fail to adaptively learn online when tested with novel agents. Here,…
From Centralized to Self-Supervised: Pursuing Realistic Multi-Agent Reinforcement Learning
Violet Xiang, Logan Cross, Jan-Philipp Fränken +1
In real-world environments, autonomous agents rely on their egocentric observations. They must learn adaptive strategies to interact with others who possess mixed motivations, disc…