A Hybrid Cognitive-Reactive Multi-Agent Controller
NAVAL RESEARCH LAB WASHINGTON DC CENTER FOR APPLIED RESEARCH IN ARTIFICIAL INTELLIGENCE
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The purpose of this paper is to introduce a hybrid cognitive-reactive system, which integrates a machine- learning algorithm SAMUEL, an evolutionary algorithm-based rule-learning system with a computational cognitive model written in ACT-R. In this system, the learning algorithm handles reactive aspects of the task and provides an adaptation mechanism, while the cognitive model handles cognitive aspects of the task and ensures the realism of the behavior. In this study, the controller architecture is used to implement a controller for a team of micro-air vehicles performing reconnaissance and surveillance.
- Computer Programming and Software