An intelligent-agent based decision support system for a complex command and control application

Abstract

The authors present an architectural overview of an agent based decision support environment. We have selected the domain of AWACS Command and Control, in which human controllers need to make critical decisions under strict timing constraints in a dynamically changing environment. The decision support training environment is based on distributed simulation, tightly coupled with an intelligent agent infrastructure. The agents apply heuristics based algorithms to provide decision support to the human controllers.