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Title: Modeling and simulating crowdsourcing as a complex biological system : human crowds manifesting collective intelligence on the internet
Authors : Buecheler, Thierry
Lonigro, Rocky
Füchslin, Rudolf Marcel
Pfeifer, Rolf
Proceedings: Advances in artificial life, ECAL 2011 : proceedings of the eleventh European conference on the synthesis and simulation of living systems
Pages : 109
Pages to: 116
Conference details: ECAL 2011 : Eleventh European Conference on the Synthesis and Simulation of Living Systems, Paris, France, 8–12 August 2011
Editors of the parent work: Lenaerts, Tom
Giacobini, Mario
Bersini, Hugues
Bourgine, Paul
Dorigo, Marco
Doursat, René
Publisher / Ed. Institution : MIT Press
Publisher / Ed. Institution: Cambridge
Issue Date: 2011
License (according to publishing contract) : CC BY-NC-ND 3.0: Namensnennung - Nicht kommerziell - Keine Bearbeitungen 3.0 Unported
Type of review: Not specified
Language : English
Subject (DDC) : 003: Systems
658.4: Executive Management
Abstract: 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 details 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.
Departement: School of Engineering
Publication type: Conference Paper
DOI : 10.21256/zhaw-1672
ISBN: 978-0-262-29714-1
Appears in Collections:Publikationen School of Engineering

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