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arXiv · 2504.15146

Behavioral Universe Network (BUN): A Behavioral Information-Based Framework for Complex Systems

Wei Zhou·Ailiya Borjigin·Cong He
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Abstract

Modern digital ecosystems feature complex, dynamic interactions among autonomous entities across diverse domains. Traditional models often separate agents and objects, lacking a unified foundation to capture their interactive behaviors. This paper introduces the Behavioral Universe Network (BUN), a theoretical framework grounded in the Agent-Interaction-Behavior (AIB) formalism. BUN treats subjects (active agents), objects (resources), and behaviors (operations) as first-class entities, all governed by a shared Behavioral Information Base (BIB). We detail the AIB core concepts and demonstrate how BUN leverages information-driven triggers, semantic enrichment, and adaptive rules to coordinate multi-agent systems. We highlight key benefits: enhanced behavior analysis, strong adaptability, and cross-domain interoperability. We conclude by positioning BUN as a promising foundation for next-generation digital governance and intelligent applications.

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Wei Zhou, Ailiya Borjigin, Cong He. 2025-04-21. Behavioral Universe Network (BUN): A Behavioral Information-Based Framework for Complex Systems. https://arxiv.org/abs/2504.15146

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