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

• URL: http://arxiv.org/abs/2504.15146v1
• Date: Mon, 21 Apr 2025 14:50:28 GMT
• Title: Behavioral Universe Network (BUN): A Behavioral Information-Based Framework for Complex Systems
• Authors: Wei Zhou, Ailiya Borjigin, Cong He,
• Abstract summary: We introduce the Behavioral Universe Network (BUN), a theoretical framework grounded in the Agent-Interaction-Behavior formalism.<n>BUN treats subjects (active agents), objects (resources), and behaviors (operations) as first-class entities governed by a shared Behavioral Information Base.<n>We highlight key benefits: enhanced behavior analysis, strong adaptability, and cross-domain interoperability.
• Score: 3.0801485631077457
• License: http://creativecommons.org/licenses/by/4.0/
• 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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