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Multi-Agent Systems for Systemic Risk and Resilience.

Governance, Stress Testing, and Adaptive Coordination

By NGO TRUNG KIEN

Individually safe AI agents can collectively make a system unstable. When many agents share training, data and infrastructure, their errors correlate, interactions amplify them and networks carry them further than any single failure could travel.

This book builds a unified framework for that risk: a four-level taxonomy from individual to institutional failure, formal propagation models, agent-based stress testing and a five-layer governance architecture for resilient multi-agent deployments.

For researchers of systemic risk, resilience, and adaptive coordination in multi-agent systems.

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