A multiagent architecture for vehicle and structural health monitoring is proposed. A prototype using this architecture was developed using JADE. Critical aspects of the design were verified using the SPIN model checker. The tasks in our framework are related to datafusion levels and Gibson’s realist position on direct perception of objects and affordances. We show how a system consisting of a multiagent system along with the monitored platform exhibits behavior at several levels, from the physics of acoustic emissions to inter-agent conversations expressing desires and beliefs. Communication, perception of public events, and system design conspire to provide the common knowledge needed to coordinate diagnostic tasks.
Albert C. Esterline, Bhanu Gandluri, Mannur Sundar