Formal Analysis of Pilot Error with Agent Safety Logic

Area of Science:

• Formal methods
• Aviation safety
• Human factors in aviation

Background:

• Human errors are a significant factor in aviation incidents.
• Existing safety analysis methods may not fully capture cognitive aspects of pilot errors.
• Formal logic can provide a rigorous framework for analyzing complex safety issues.

Purpose of the Study:

• To demonstrate the utility of modal logic for the formal analysis of human errors in aviation safety.
• To introduce Agent Safety Logic (ASL), a novel modal logic framework tailored for aviation safety.
• To formally analyze a specific class of pilot knowledge failure contributing to aviation incidents.

Main Methods:

• Development of Agent Safety Logic (ASL), integrating epistemic, doxastic, and safety logic principles.
• Formal modeling of pilot knowledge and decision-making processes within ASL.
• Application of ASL to analyze documented aviation incidents linked to pilot knowledge failures.

Main Results:

• ASL provides a formal language to represent and reason about human errors in aviation.
• A specific class of pilot knowledge failure, contributing to aviation incidents, was formally identified and analyzed.
• The analysis revealed insights into the cognitive mechanisms underlying these errors.

Conclusions:

• Modal logic, specifically ASL, is a powerful tool for the formal analysis of human errors in aviation.
• The ASL framework can enhance the understanding of pilot knowledge failures.
• Findings suggest potential applications for future avionics design to mitigate human error and improve aircraft safety.