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Estimating the Efficiency of Collaborative Problem-Solving, With Applications to Chip Design

Overview In this paper, the authors present a statistical framework to address questions that arise in general problems involving collaboration of several contributors. One instance of this problem occurs in the complex process of designing UltraLarge-Scale-Integration (ULSI) semiconductor chips. The algorithm can either be fully automated or be implemented by hand, relying on formally describable human expertise. In this intervention, the supplemental algorithm and the automated design tool take turns to move the design from one configuration to another until either the task is complete or further improvements are not possible or necessary.

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PublisherIBM File FormatPDF
Date PublishedJanuary 2003
FormatWhite Papers   
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