Corpus Agentis
The field book to agent ecosystems
The field book to agent ecosystems
Design · Topologies

Judicial Committee (quorum)

N judge-agents independently evaluate a proposal; a verdict aggregator applies a quorum rule (majority / unanimity / weighted).

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Judicial Committee (quorum) agent topology diagram

A judicial-committee topology has N independent judge-agents each evaluate a proposal on its own, then a verdict aggregator combines their scores into a decision by quorum. Independence is the safeguard: because the judges do not see each other, their errors are uncorrelated, so a quorum is hard to fool. It suits high-stakes accept or reject gates where one evaluator is too risky. In anatomy terms it is N scoring cores plus a deterministic aggregator.

In the anatomy

N independent judge cores score a proposal in isolation; a deterministic aggregator applies a quorum rule; no judge sees another's verdict; the perimeter enforces the gate the verdict controls.

At a glance
PatternJudicial Committee (quorum)
State modelstateless
ExampleMASS quorum voting · policy-decision agents
Common use cases
  • ·High-stakes accept or reject gates in safety, compliance or payouts.
  • ·Content moderation that needs robustness.
  • ·Any decision too risky for a single evaluator.
Strengths
  • ·Robust: uncorrelated errors are hard to fool.
  • ·Tunable strictness via the quorum.
  • ·Auditable: each judge's verdict is recorded.
  • ·Independence guards against a single bad evaluator.
Weaknesses
  • ·N times the cost of one evaluation.
  • ·Correlated judges (the same model) weaken the guarantee.
  • ·The aggregation rule is a design decision with trade-offs.
  • ·Latency of gathering every verdict.
Basis

Description, use cases and trade-offs: Field Book analysis, synthesised from established agent-architecture literature.

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https://arxiv.org/abs/2601.12996

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