Greater Mission Flexibility vs Simpler Decision Logic
Use modular, independently validatable behavioral components so each mission capability can be assessed and certified without re-testing the entire system.
CyberTRIZ analysis · AIRobotics contradiction AS007 · one of 8,235 worked contradictions published by CyberTRIZ.AI
Regulations
Business Context
Autonomous systems perform increasingly diverse missions across changing environments. Supporting additional capabilities often requires more complex decision logic.
AI & Robotics TRIZ Resolution
Organize decision-making into modular behavioral components that activate only when required by operational conditions.
Applicable TRIZ Principles
Principle 1 – Segmentation divides complex decision logic into manageable behavioral modules.
Principle 6 – Universality enables common decision components to support multiple mission types.
Principle 15 – Dynamics activates only the behavioral modules required for each operational situation.
Expected Outcome
Greater mission flexibility
Simpler decision architecture
Easier maintenance
Better scalability
Decision Indicators
Early indicators that decision logic is becoming overly complex include:
Software maintenance effort increases.
Validation requires extensive testing.
Decision rules become difficult to understand.
Configuration errors increase.
Monitoring these indicators supports maintainable autonomous systems.