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This paper describes an architecture for a node in a cognitive network that employs distributed learning and reasoning. We present the architecture and describe a method of distributed reasoning using an island genetic algorithm. We then formulate a channel allocation problem that is unique to the use of cognitive radio networks for dynamic spectrum access. We provide simulation results for the island genetic algorithm as applied to our channel allocation problem.

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