Uncertainty and display management of interface agent under time-critical situations

In the paper, instead of designing an automation system that is intended to replace a human operator completely with and to exclude him/her from the loop, we introduce an idea of interface agent as a sophisticated associate for a human operator. Since its decision making style must be close to the human´s proficient naturalistic decision making, we formalize its resource-bounded reasoning under critical time pressure by joining a machine learning method for concept induction and a classical decision theory.