Real-time fuzzy resource manager for distributed agents in an adversarial environment

摘要

An expert system based on fuzzy logic and optimized by a genetic algorithm has been developed that automatically allocates electronic attack (EA) resources in real-time. This expert system or resource manager is made up of four trees, the isolated platform tree, the multi-platform tree, the fuzzy parameter selection tree and the fuzzy strategy tree. The isolated platform tree provides a fuzzy decision tree that allows an individual platform to respond to a threat. The multi platform tree allows a group of platforms to respond to a threat in a collaborative fashion. The fuzzy parameter selection tree is designed to make optimal selections of root concept parameters. The strategy tree is a fuzzy tree that an agent uses to try to predict the behavior of an enemy. Finally, an example is provided that shows how the resource manager uses its subtrees to deliver high quality responses for a demanding scenario.