Plan conflict
Agents propose incompatible actions for the same goal.
Multi-Agent Coordination
Resolve agent conflicts with explicit protocols
Multiple agents can disagree about plans, evidence, ownership, or resource use. A production system needs deterministic escalation rules instead of asking agents to negotiate indefinitely.
Answer in brief
Define resource ownership, priority and evidence rules, use transactional shared state, limit negotiation rounds, and send unresolved or high-risk conflicts to a separate policy service or human approver.
Conflict types
Use these dimensions to make the architecture decision explicit and testable.
State conflict
Concurrent workers read and write different versions of shared state.
Resource conflict
Workers compete for budgets, locks, tools, or human attention.
Policy conflict
A locally useful action violates a global rule or approval boundary.
Resolution hierarchy
Use these dimensions to make the architecture decision explicit and testable.
Prevent
Partition responsibilities and validate ownership before execution.
Detect
Use version checks, invariants, and conflict events.
Arbitrate
Apply policy, evidence quality, risk, and priority rules outside the agents.
Escalate
Route ambiguous or consequential disputes to a human with a concise evidence packet.
Evidence and audit
Use these dimensions to make the architecture decision explicit and testable.
Claims
Require every proposal to state assumptions and evidence references.
Decision record
Store the alternatives, rule applied, winner, and rejected actions.
Timeouts
Bound negotiation and choose a safe default when no agreement is reached.
Evaluation
Measure conflict rate, resolution latency, reversals, and harmful outcomes.
Production checklist
Use this as a design-review gate before release.
- Assign ownership for every mutable resource.
- Use optimistic locking or transactions.
- Keep arbitration outside individual agents.
- Cap negotiation rounds.
- Define safe defaults and escalation.
- Record the evidence and rule behind every resolution.
Continue learning
Place this pattern inside a broader agent architecture and operating model.
AI agent tutorial library
Browse memory, planning, frameworks, reliability, safety, and observability.
Open the tutorial library →AI agent guide
Start with agent features, design patterns, benefits, challenges, and industry applications.
Open the guide →