Agent Economics: An Entropy-Controlled Pluralistic Alignment Framework for Preventing Artificial Hivemind in Autonomous Agents

📰 ArXiv cs.AI

Learn to prevent artificial hivemind in autonomous agents using an entropy-controlled pluralistic alignment framework

advanced Published 9 Jun 2026

Action Steps

Apply the Behavioral Protocol Framework (BPF) to autonomous agent economies
Configure Mentalizing-based Social Intelligence (MbSI) to promote social diversity
Test the entropy-controlled alignment mechanism to prevent strategic convergence
Evaluate the transparency of autonomous decision-making processes using BPF
Compare the performance of BPF with existing alignment frameworks

Who Needs to Know This

AI researchers and engineers working on autonomous agent systems can benefit from this framework to ensure diverse decision-making and prevent hivemind effects

Key Insight

💡 Entropy-controlled alignment can prevent hivemind effects in autonomous agents

Key Takeaways

Learn to prevent artificial hivemind in autonomous agents using an entropy-controlled pluralistic alignment framework

Full Article

Title: Agent Economics: An Entropy-Controlled Pluralistic Alignment Framework for Preventing Artificial Hivemind in Autonomous Agents

Abstract:
arXiv:2606.09039v1 Announce Type: new Abstract: 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 o

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