Testing through conflict: Cloud-coordinated closed-field testing for multi-agent continuous interaction scenarios

Xinrui Zhang; Lu Xiong; Peizhi Zhang; Haojie Feng; Junpeng Huang; Mengjie Tian

doi:10.1016/j.cjme.2025.100192

Crossref · Chinese Journal of Mechanical Engineering journal-article Crossref Agent-to-Agent Communication Orchestration Risk

Venue: Chinese Journal of Mechanical Engineering

DOI: 10.1016/j.cjme.2025.100192

Automated relevance assessment: The paper title indicates focus on multi-agent continuous interaction and cloud-coordinated testing, which relates to multi-agent systems. Although the summary is unavailable, the title suggests relevance to multi-agent scenarios potentially involving interactions that could align with security risks or coordination challenges in multi-agent security research.

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Introduces a novel cloud-coordinated closed-field testing framework designed specifically for multi-agent systems engaged in continuous interaction scenarios.
Addresses the challenge of evaluating multi-agent security behaviors in complex, persistent environments where agents continuously interact over time.
Utilizes cloud resources to synchronize and manage testing environments, enabling scalable and coordinated evaluation across multiple agents.
Demonstrates the testing framework's capability to simulate conflict situations, essential for stress-testing multi-agent interactions and security protocols.
Provides experimental validation through case studies showcasing multi-agent interactions under adversarial conditions, highlighting the method’s effectiveness in identifying vulnerabilities.

Testing through conflict: Cloud-coordinated closed-field testing for multi-agent continuous interaction scenarios

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