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Crowdsourcing of General Computational Problem Solving: Studies and Directions

Haoqi Zhang and Eric Horvitz

Abstract

We present research on harnessing of human computation for executing general problem solving via employing such algorithmic constructs as divide-and-conquer and iterative refinement. We take a program synthesis perspective on the creation and optimization of such crowd-centric problem solving. We show how we can use the crowd to decompose problems into subproblems in a recursive manner and then to solve base-case subproblems.

Details

Publication typeTechReport
NumberMSR-TR-2011-4
PublisherMicrosoft Research
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