A Computational Model of Crowds for Collective Intelligence

  • Prpić J
  • Fraser S
  • Nguyen T
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In this work, we present a high-level computational model of IT-mediated crowds for collective intelligence. We introduce the Crowd Capital perspective as an organizational-level model of collective intelligence generation from IT-mediated crowds, and specify a computational system including agents, forms of IT, and organizational knowledge. As far as we are aware, this work, and our simulation software, represents the first attempt to computationally model the organizational knowledge generating capacity of IT-mediated crowds. Further, as far as we know, the work is also the first of its kind to computationally model episodic and collaborative IT structures, distinguishing those forms of IT that require crowd collaboration for knowledge generation, from those that do not.

Author-supplied keywords

  • Agent-Based Modelling
  • Agents
  • Citizen Science
  • Collaborative IT
  • Collective Intelligence
  • Computational Model
  • Crowd Capability
  • Crowd Capital
  • Crowdsourcing
  • Dispersed Knowledge
  • Episodic IT
  • IT Structure
  • IT-Mediated Crowds
  • Organizational Knowledge
  • Prediction Markets
  • Simulation
  • Wikis

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  • John Prpić

  • Simon Fraser

  • Thai Nguyen

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