Recognize Your Orchestrator: An Entropy Dynamics Perspective for LLM Multi-Agent Systems
The transition from single-turn models to Multi-Agent Systems (MAS) promises enhanced problem-solving capabilities, yet the centralized orchestration topology remains a critical point of fragility. To analyze this, we propose a Mean-Field Entropy Dynamics framework, modeling the orchestration process as a system governed by the competing forces of task resolution and cumulative context loading. To facilitate validation, we introduce Inverse Workflow Generation (IWG), a multi-agent pipeline that
Record details
Published: 31 May 2026
Source: arXiv
Category: Research
Topics: Agents & autonomy
Retrieved: 14 July 2026
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ethics.ai (31 May 2026), “Recognize Your Orchestrator: An Entropy Dynamics Perspective for LLM Multi-Agent Systems,” evidence record 3330, https://ethics.ai/record/3330 (originally published by arXiv).
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