摘要: |
The identification, modelling, and analysis of root causes of accidents and incidents dominate
conventional safety management approaches. However, the effect of humans’ safety-producing
behavior on the overall resilience of the system is often neglected. Additionally, emerging aviation
markets are giving rise to concepts of operation, such as urban air mobility and optionally piloted
air cargo operations, that are leading to a shift in locus of control between humans and automation.
Without an understanding of the human contribution to safety, it is difficult to assess the effects of
these novel role allocations on overall system safety. In this work, safety-producing behaviors are
identified and abstracted into resilient performance strategies. Production rules that encapsulate
these strategies are then generated and classified in the Soar cognitive architecture. The strategies
are then applied to a remotely-operated air cargo example to demonstrate how safe learning is
facilitated. The learned rules and strategies are then formally verified. |