Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-1672
Publication type: Conference paper
Type of review: Peer review (abstract)
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
DOI: 10.21256/zhaw-1672
Proceedings: Advances in artificial life, ECAL 2011 : proceedings of the eleventh European conference on the synthesis and simulation of living systems
Editors of the parent work: Lenaerts, Tom
Giacobini, Mario
Bersini, Hugues
Bourgine, Paul
Dorigo, Marco
Doursat, René
Pages: 109
Pages to: 116
Conference details: 11th European Conference on the Synthesis and Simulation of Living Systems (ECAL 2011), Paris, France, 8-12 August 2011
Issue Date: 2011
Publisher / Ed. Institution: MIT Press
Publisher / Ed. Institution: Cambridge
ISBN: 978-0-262-29714-1
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.
URI: https://digitalcollection.zhaw.ch/handle/11475/2785
Fulltext version: Published version
License (according to publishing contract): CC BY-NC-ND 3.0: Attribution - Non commercial - No derivatives 3.0 Unported
Departement: School of Engineering
Appears in Collections:Publikationen School of Engineering

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