| Collaborative learning in networks. | |
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MedLine Citation:
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PMID: 22184216 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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Complex problems in science, business, and engineering typically require some tradeoff between exploitation of known solutions and exploration for novel ones, where, in many cases, information about known solutions can also disseminate among individual problem solvers through formal or informal networks. Prior research on complex problem solving by collectives has found the counterintuitive result that inefficient networks, meaning networks that disseminate information relatively slowly, can perform better than efficient networks for problems that require extended exploration. In this paper, we report on a series of 256 Web-based experiments in which groups of 16 individuals collectively solved a complex problem and shared information through different communication networks. As expected, we found that collective exploration improved average success over independent exploration because good solutions could diffuse through the network. In contrast to prior work, however, we found that efficient networks outperformed inefficient networks, even in a problem space with qualitative properties thought to favor inefficient networks. We explain this result in terms of individual-level explore-exploit decisions, which we find were influenced by the network structure as well as by strategic considerations and the relative payoff between maxima. We conclude by discussing implications for real-world problem solving and possible extensions. |
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Authors:
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Winter Mason; Duncan J Watts |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-12-19 |
Journal Detail:
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Title: Proceedings of the National Academy of Sciences of the United States of America Volume: - ISSN: 1091-6490 ISO Abbreviation: - Publication Date: 2011 Dec |
Date Detail:
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Created Date: 2011-12-20 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 7505876 Medline TA: Proc Natl Acad Sci U S A Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
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Stevens Institute of Technology, Hoboken, NJ 07030. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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