Building Consensus in On-Line Distributed Decision Making: Interaction, Aggregation and the Construction of Shared Knowledge

  • Luca Iandoli
Chapter
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 267)

Abstract

In this chapter I discuss the possibility of exploiting large-scale knowledge sharing and mass interaction taking place on the Internet to build decision support systems based on distributed collective intelligence. Pros and cons of currently available collaborative technologies are reviewed with respect to their ability to favor knowledge accumulation, filtering, aggregation and consensus formation. In particular, I focus on a special kind of collaborative technologies, online collaborative mapping, whose characteristics can overcome some limitations of more popular collaborative tools, in particular thanks to their capacity to support collective sense-making and the construction of shared knowledge objects. By reviewing some of the work in the field, I argue that the combination of online mapping and computational techniques for beliefs aggregation can provide an interesting basis to support the construction of systems for distributed decision-making.

Keywords

Generalize Entropy Mapping Tool Reputation System Building Consensus Collective Intelligence 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Luca Iandoli
    • 1
  1. 1.Dept. of Business and Managerial EngineeringUniversity of Naples Federico IIItaly

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