Modeling a distributed human-machine system using knowledge engineering techniques

Describes an approach to modeling human-machine system operations that extends the range of applicability of the supervisory control paradigm. The focus is upon heterogeneous environments, where information and influence over the system is distributed among several diverse organizations. These are characterized as intelligent agents, and the approach centers on how the information exchange and shared analysis takes place among them. This paper discusses two tests to verify the practicality of our paradigm in a realistic setting. The tests are part of a study that centers on the human-centered design methods used to construct a prototype machine-intelligent assistant for use in advanced traffic management.