AI RESEARCH
Beyond Inefficiency: Systemic Costs of Incivility in Multi-Agent Monte Carlo Simulations
arXiv CS.AI
•
ArXi:2605.11789v1 Announce Type: new Unconstructive debate and uncivil communication carry well-documented costs for productivity and cohesion, yet isolating their effect on operational efficiency has proven difficult. Human subject research in this domain is constrained by ethical oversight, limited reproducibility, and the inherent unpredictability of naturalistic settings. We address this gap by leveraging Large Language Model (LLM) based Multi-Agent Systems as a controlled sociological sandbox, enabling systematic manipulation of communicative behavior at scale.