Emergence World: A Platform for Evaluating Long-Horizon Multi-Agent Autonomy
Most evaluations of LLM agents look like exams: a discrete task, a clean environment, a score in minutes or hours. We argue that this approach is mismatched with the deployment conditions of autonomous systems, where the relevant timescale can be weeks to months, and where the dynamics that matter most, such as behavioral drift, governance in diverse environmental contexts, and cross-influence between agents from different model families, only emerge over time. We introduce Emergence World, a co
Record details
Published: 6 June 2026
Source: arXiv
Category: Research
Topics: Regulation · Agents & autonomy · Environment
Retrieved: 14 July 2026
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ethics.ai (6 June 2026), “Emergence World: A Platform for Evaluating Long-Horizon Multi-Agent Autonomy,” evidence record 1315, https://ethics.ai/record/1315 (originally published by arXiv).
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