A multi-agent system contains multiple interacting agents that coordinate, compete, negotiate, or divide work. Collective outcomes depend on communication, network structure, incentives, memory, permissions, and environmental feedback.
Capabilities and failures can emerge at the interaction level. See Multi-Agent AI and Emergent Behavior.