Can Artificial Intelligence meet the Cognitive Networking Challenge ?

Recent developments in Software Defined Radio technology have created the opportunity to develop networks that are, in principle, highly adaptable and effective under a much wider range of operating conditions than currently possible, but few researchers are able to fully exploit this new flexibility. Cognitive radio networks require multiple interacting capabilities for situation assessment, planning and learning, and are therefore a rich application area for Artificial Intelligence (AI) technology. AI techniques enable real-time, contextaware adaptivity at the core of the cognitive networking vision. This paper briefly discusses some of the AI techniques that can and have been leveraged in this domain. The goal is to encourage further research in this area so that we can overcome the most significant challenges that remain in cognitive networking.