Abstract

This paper describes the issues underlying the development of intelligent decision support in complex control environments. An effective DSS requires a rich understanding of complex processes, the goals the processes are to accomplish, the current environment in which the processes are operating, and the goals the human agent is attempting to accomplish. These requirements in turn form the basis for a theory of human interventions in these environments.

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