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Published in:
2013 | OriginalPaper | Chapter
Organizational Control for Data Mining with Large Numbers of Agents
Author : Victor Lesser
Published in: Agents and Data Mining Interaction
Publisher: Springer Berlin Heidelberg
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Over the last few years, my research group has begun exploring the issues involved in learning when there are hundreds to thousands of agents. We have been using the idea of organization control as a low overhead way of coordinating the learning of such large agent collectives. In this lecture, the results of this research will be discussed and its relationship to issues in distributed data mining.