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Algorithm of nested clustering for unsupervised learning
Autonomous learning in the architectures of intelligent control requires special procedures performed upon acquired knowledge. This affects the structure of world representation and it is intimately linked with mechanisms of behavior generation. This paper illuminates algorithms of autonomous learning performed via nested clustering which is goal driven and exercises simulation of decision making process.
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