Faster Local Decisions vs Greater Global Optimization
Embed periodic global optimisation cycles with logged performance feedback to demonstrate AI Act conformity for autonomous decision accountability.
CyberTRIZ analysis · AIRobotics contradiction AS022 · one of 8,235 worked contradictions published by CyberTRIZ.AI
Regulations
Business Context
Individual agents respond quickly using local information, but locally optimal actions may reduce overall mission performance when broader system conditions are ignored.
AI & Robotics TRIZ Resolution
Combine rapid local decision-making with periodic global optimization that updates shared priorities, constraints, and resource allocation policies.
Applicable TRIZ Principles
Principle 3 – Local Quality optimizes decisions at the local operational level.
Principle 19 – Periodic Action performs regular global optimization without slowing immediate responses.
Principle 23 – Feedback continuously updates global priorities based on system performance.
Expected Outcome
Faster local decisions
Improved global performance
Better resource utilization
Reduced coordination conflicts
Decision Indicators
Early indicators include:
Agents compete for the same resources.
Overall mission efficiency declines.
System-wide objectives are missed.
Coordination corrections increase.
Monitoring these indicators balances local responsiveness with global optimization.