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Self-managed Crowdsourcing

Authors:
Vladislav Protasov
Zinaida Potapova
Eugene Melnikov

Keywords: crowdsourcing; collective intelligence; coordination; generation; estimation; election; social

Abstract:
The paper presents a technology of crowdsourcing organization that is considered to provide optimal solutions of complicated intelligent problems from large group of experts. This approach is developed as an extension of the Evolutionary Solutions Coordination method; it supposes dividing entire expert group into small ones and automatically defining best experts on each iteration to form the most competent groups on further iterations. Finally, the group of the most competent experts gives full and the most rational solution. The paper also presents an experiment on the Eysenck’s tests solving. It demonstrates significant superiority of self-managed crowdsourcing over individual solution approach.

Pages: 103 to 106

Copyright: Copyright (c) IARIA, 2014

Publication date: June 22, 2014

Published in: conference

ISSN: 2308-4065

ISBN: 978-1-61208-352-0

Location: Seville, Spain

Dates: from June 22, 2014 to June 26, 2014