Prof. Behnam Malakooti
Department of EECS, Case School of Engineering
We present an Intelligent Architecture that allows autonomous and distributed decision making for aerospace and near-earth sciences, and for increasing functionality, mobility, agility, flexibility, and quality. We propose a new class of intelligent networks, protocols, and systems to support emerging aerospace and NASA's hardware and software technologies. Proposed Intelligent Networks have the ability to learn from experience and use this knowledge to make autonomous decisions, to carry out complicated tasks through collaboration, to change their functions, and to plan for the future. We also propose to develop a system that employs autonomous and remote agents to support re-configurable, adaptive and reliable networks.