Agent Economics: An Entropy-Controlled Pluralistic Alignment Framework for Preventing Artificial Hivemind in Autonomous Agents
This study proposes the Behavioral Protocol Framework (BPF), an entropy-controlled pluralistic alignment framework designed to address two critical challenges in autonomous agent economies: the hivemind effect arising from excessive strategic convergence among agents and the lack of transparency in autonomous decision-making processes. The proposed BPF consists of three core modules: Mentalizing-based Social Intelligence (MbSI) grounded in Theory of Mind (ToM), Pluralistic Alignment (PA), and a
Record details
Published: 8 June 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Agents & autonomy · Transparency
Retrieved: 14 July 2026
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ethics.ai (8 June 2026), “Agent Economics: An Entropy-Controlled Pluralistic Alignment Framework for Preventing Artificial Hivemind in Autonomous Agents,” evidence record 1271, https://ethics.ai/record/1271 (originally published by arXiv).
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