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Multiple supervisors organize agents in hierarchical layers, delegating responsibility for larger teams or complex domains. Typical conditions for use: The number of agents is large; Domains must be organized into sub-teams. The central trade-off: Scalable organizational structure is achieved against higher complexity and longer decision paths.
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Theoretical construct: explains a term, principle, or mental model.
What organizes, connects, or makes decisions possible.
A hierarchical supervisor organises work across levels: a higher-level instance decomposes goals, delegates subtasks, and recombines results.
The pattern has roots in hierarchical planning, management by exception, and distributed control systems. Multi-agent systems apply it to supervisors that coordinate specialists and intervene deeper only when needed.
The top-level supervisor decides on the goal and decomposition. Lower-level supervisors or workers handle subtasks, report status, and escalate deviations; each level needs clear boundaries and observability.
The conceptual focus and typical structure of the approach.
Use in the relevant working context.
Hierarchical supervisors help divide large tasks into controllable responsibilities and design escalation paths in agent systems.
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