Abstract
Machine learning in an uncertain or unknown environment is of vital interest to those working with intelligent systems. The ability to gamer new information, process it, and increase the understanding/ capability of the machine is crucial to the performance of autonomous systems. The field of artificial intelligence provides two major approaches to the problem of knowledge engineering - expert systems and neural networks. Harnessing the power of these two techniques in a hybrid, cooperating system holds great promise.
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