Multi-Agent System
A system comprising multiple autonomous AI agents that interact with each other to cooperate, compete or negotiate toward individual or shared objectives.
In plain language
Several AI agents working together or independently toward a goal. For example, in a supply chain, one agent optimises shipping costs, another manages inventory and a third handles customer demands; they negotiate and adjust dynamically.
Why this matters
Multi-agent systems introduce complex interdependencies and emergent behaviours that are harder to predict or control than single-agent systems. Organisations deploying multi-agent AI need stronger monitoring and governance to understand system-level risks and prevent unintended interactions.
Relevance
ImplementationRequires additional monitoring and governance controls to manage emergent behaviour and interdependencies between autonomous components.
Related terms
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