Abstract
In dynamic process supervision it is important to exhibit the different human operator behaviour patterns when performed a specified task. This paper presents a method based on a micro-world environment to, first, outline the concepts underlying the different human operator strategies, and second, encapsulate them in a library of artificial agents. These artificial agents are then used as indicators to which human operator behaviours can be compared to assess the reasoning strategy.
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