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 continuously running multi-agent simulation platform designed to make those dynamics measurable. The platform hosts populations of LLM-driven agents in a shared spatial world grounded in live externa...
| Authors | Deepak Akkil, Ravi Kokku, Karthik Vikram et al. |
|---|---|
| Primary category | cs.MA |
| Published | 6 June 2026 |
| Last updated at source | 6 June 2026 |
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