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Evolution of the Web in Artificial Intelligence Environments pp 243–277Cite as

A Survey of Web-Based Collective Decision Making Systems

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 130))

Abstract

A collective decision making system uses an aggregation mechanism to combine the input of individuals to generate a decision. The decisions generated serve a variety of purposes from governance rulings to forecasts for planning. The Internet hosts a suite of collective decision making systems, some that were inconceivable before the web. In this paper, we present a taxonomy of collective decision making systems into which we place seven principal web-based tools. This taxonomy serves to elucidate the state of the art in web-based collective decision making as well as to highlight opportunities for innovation.

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Authors and Affiliations

  1. International and Applied Technology, Los Alamos National Laboratory, Los Alamos, New Mexico, 87545

    Jennifer H. Watkins

  2. Digital Library Research and Prototyping Team, Los Alamos National Laboratory, Los Alamos, New Mexico, 87545

    Marko A. Rodriguez

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  1. Jennifer H. Watkins
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  2. Marko A. Rodriguez
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Richi Nayak Nikhi Ichalkaranje Lakhmi C. Jain

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Watkins, J.H., Rodriguez, M.A. (2008). A Survey of Web-Based Collective Decision Making Systems. In: Nayak, R., Ichalkaranje, N., Jain, L.C. (eds) Evolution of the Web in Artificial Intelligence Environments. Studies in Computational Intelligence, vol 130. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79140-9_11

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  • DOI: https://doi.org/10.1007/978-3-540-79140-9_11

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