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Type Conference or Workshop Paper
Scope Discipline-based scholarship
Published in Proceedings Yes
Title Modeling and Simulating Crowdsourcing as a Complex Biological System: Human Crowds Manifesting Collective Intelligence on the Internet
Organization Unit
Authors
  • Thierry Alain Bücheler
  • Rocky Lonigro
  • Rudolf Marcel Füchslin
  • Rolf Pfeifer
Editors
  • Tom Lenaerts
  • Mario Giacobini
  • Hugues Bersini
  • Paul Bourgine
  • Marco Dorigo
  • René Doursat
Presentation Type paper
Item Subtype Original Work
Refereed Yes
Status Published in final form
Language
  • English
ISBN 978-0-262-29714-1
Page Range 109 - 116
Event Title ECAL 2011. The Eleventh European Conference on the Synthesis and Simulation of Living Systems
Event Type conference
Event Location Paris
Event Start Date August 8 - 2011
Event End Date August 12 - 2011
Series Name ECAL
Number 11
Place of Publication Boston, Mass.
Publisher MIT Press
Abstract Text Crowdsourcing, a real-life instance of human collective intelligence, is a phenomenon that changes the way organizations use the Internet to collect ideas, solve complex cognitive problems, and build high-quality repositories (e.g., Wikipedia) by self-organizing agents around data and knowledge. Many recent studies have highlighted the factors and the small sets of parameters that play a role when a large crowd interacts with an organization. However, no comprehensive simulation has yet been developed to incorporate all these parameters, investigate Artificial Life phenomena such as emergence and self-organization and potentially generate predictive power. Based on a presentation at ALIFE XII, this paper describes the development of a simulator for human crowds performing collective problem solving in a Crowdsourcing scenario. It introduces the mechanics of a multi-agent system (MAS) by building on insights from empirical science in several disciplines. The simulator allows running sensitivity analyses of multiple parameters as well as simulation of intractable interactions of complex networks of irrational agents. In addition, the paper provides a review of Crowdsourcing and human collective intelligence literature structured from an Alife point-of-view.
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