A Computational Model of Crowds for Collective Intelligence

TL;DR

This paper proposes a high-level computational model of IT-mediated crowds, introducing the Crowd Capital perspective to understand collective intelligence generation at an organizational level.

Contribution

It introduces the Crowd Capital perspective and specifies a computational system including agents, IT forms, and organizational knowledge for modeling collective intelligence.

Findings

The model captures how IT-mediated crowds contribute to organizational knowledge.

It provides a framework for analyzing collective intelligence in organizational settings.

The approach integrates agents, IT tools, and knowledge structures in a unified model.

Abstract

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.