Introduces measurable coupling gain gamma and randomized-initial-condition diagnostic to distinguish genuine social dynamics from LLM prior artifacts in agent societies.
Title resolution pending
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
Self-play LLM trajectories form model-specific attractors that asymmetrically influence mixed-play partners' stylistic choices and stances across 7 models and 20 topics.
Authors define EASE as a modular architecture for LLM multi-agent simulations, implement it in the SiliSocS sandbox, and illustrate its use via three case studies on research questions in generated social scenarios.
citing papers explorer
-
When Is Emergent Consensus Real? A Measured Coupling Gain and a Validity Diagnostic for LLM Agent Societies
Introduces measurable coupling gain gamma and randomized-initial-condition diagnostic to distinguish genuine social dynamics from LLM prior artifacts in agent societies.