Flocks, herds and schools: A distributed behavioral model
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Computer-supported cooperative work: a book of readings
Computer-supported cooperative work: a book of readings
Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Computational Collective Intelligence
Computational Collective Intelligence
Collective Intelligence: Mankind's Emerging World in Cyberspace
Collective Intelligence: Mankind's Emerging World in Cyberspace
Computational Economics
The Wisdom of Crowds
Tutorial on agent-based modeling and simulation
WSC '05 Proceedings of the 37th conference on Winter simulation
Adaptation And Evolution in Collective Systems (Advances in Natural Computation)
Adaptation And Evolution in Collective Systems (Advances in Natural Computation)
On the performance of artificial bee colony (ABC) algorithm
Applied Soft Computing
Generative Social Science: Studies in Agent-Based Computational Modeling (Princeton Studies in Complexity)
A review of particle swarm optimization. Part I: background and development
Natural Computing: an international journal
Collective Intelligence in Action
Collective Intelligence in Action
Emergence of norms through social learning
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
IEEE Computational Intelligence Magazine
An agent-based platform for ad-hoc social networking
KES-AMSTA'11 Proceedings of the 5th KES international conference on Agent and multi-agent systems: technologies and applications
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Collective Intelligence is a form of intelligence which emerges out of collaboration and coordination of many individual agents. A group of actors performing simple behaviours and interacting with fellow group members & the environment often produce global behaviours which seems intelligent. Understanding the emergence of intelligent collective behaviours in social systems, such as norms & conventions, higher level organizations, collective wisdom and evolution of culture from simple and predictable local interactions; has been an important research question since decades. Agent-based modeling of complex social behaviours by simulating social units as agents and modeling their interactions; provides a new generative approach to understanding the dynamics of emergence of collective intelligence behaviours. In this paper, we have presented an analytical account of nature, form and dynamics of collective intelligence, followed by some of our experimental work on evolution of collective intelligence. The paper concludes with a short discussion of the results and relevant implications for designing systems for achieving desired collective intelligence.