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Agent-Based Computational Modeling of Emergent Collective Intelligence

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Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems (ICCCI 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5796))

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Abstract

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.

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References

  1. Bonabeau, E., Dorigo, M., Theraulaz, G.: Swarm Intelligence: From Natural to Artificial Systems. Oxford University Press, New York (1999)

    MATH  Google Scholar 

  2. Reynolds, C.W.: Flocks, Herds and Schools: A Distributed Behavioural Model. Computer Graphics 21, 25–34 (1987)

    Article  Google Scholar 

  3. Schelling, T.C.: Dynamic Models of Segregation. Journal of Mathematical Sociology 1, 143–186 (1971)

    Article  Google Scholar 

  4. Tesfatison, L.: Introduction to the special issue on Agent-based Computational Economics. Journal of Economic Dynamics and Control (2001)

    Google Scholar 

  5. Macal, C.M., North, M.J.: Tutorial on Agent based Modeling and Simulation. In: Kuhl, M.E., Steiger, N.M., Armstrong, F.B., Joines, J.A. (eds.) Proceedings of the 2005 Winter Simulation Conference (2005)

    Google Scholar 

  6. Zhengping, L., Cheng, H.S.: A Survey of Emergent Behaviour and its Impacts in Agent-based Systems. In: Proceedings of IEEE International Conference on Industrial Informatics (August 2006)

    Google Scholar 

  7. Namatame, A.: Adaptation and Evolution in Complex Systems. World Scientific (2006)

    Google Scholar 

  8. Surowiecki, J.: The Wisdom of Crowds. Anchor, New York (2005)

    Google Scholar 

  9. Wikipedia, Collective Intelligence (2009), http://en.wikipedia.org/wiki/Collective_intelligence

  10. Epstein, J.M.: Generative Social Sciences: Studies in Agent-based Computational Modeling. Princeton University Press, Princeton (2007)

    Google Scholar 

  11. Axelrod, R.: The Complexity of Cooperation. Princeton University Press, Princeton (1997)

    MATH  Google Scholar 

  12. Epstein, J.M., Axtell, R.: Growing Artificial Societies: Social science from bottom-up. MIT Press, Cambridge (1996)

    Google Scholar 

  13. Macy, M.W., Willer, R.: From factors to actors: computational sociology and agent based modeling. Annual Review of Sociology 28, 143–166 (2002)

    Article  Google Scholar 

  14. Goldstone, R.L., Janssen, M.A.: Computational models of collective behaviour. Trends in Cognitive Sciences 9(9) (2005)

    Google Scholar 

  15. Szuba, T.M.: Computational Collective Intelligence, 1st edn. Wiley-Interscience, Hoboken (2001)

    Google Scholar 

  16. Malone, T.W.: What is Collective Intelligence, Social Text (2005), http://www.socialtext.net/mit-cci-hci/index.cgi?what_is_collective_intelligence

  17. Banks, A., Vincent, J., Anyakoha, C.: A Review of Particle Swarm Optimization, Part-I: Background & Development. Natural Computing 6, 467–484 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  18. Dorigo, M., Birattari, M., Stutzle, T.: Ant Colony Optimization: Artificial Ants as Computational Intelligence Technique. IEEE Computational Intelligence (November 2006)

    Google Scholar 

  19. Karaboga, D., Basturk, B.: On the Performance of Artificial Bee Colony Algorithm. Applied Soft Computing 8, 687–697 (2008)

    Article  Google Scholar 

  20. Greif, I. (ed.): Computer Supported Cooperative Work: A Book of Readings. Morgan Kaufmann, San Francisco (1988)

    Google Scholar 

  21. Singh, V.K., Gupta, A.K.: Collective Intelligence Based Approaches to Search and Optimization Problems. In: Proceedings of UGC Sponsored National Seminar on Soft Computing Techniques and their Applications at Howrah, India (March 2009)

    Google Scholar 

  22. Alag, S.: Collective Intelligence in Action. Manning, New York (2009)

    Google Scholar 

  23. Malone, T.W.: What is Collective Intelligence and what we will do about it? (2005), Edited transcript available at MIT Centre for Collective Intelligence, http://cci.mit.edu

  24. Fehr, E., Fischbacher, U.: Social Norms and Human Cooperation. Trends in Cognitive Science 8(4), 185–190 (2004)

    Article  Google Scholar 

  25. Axelrod, R.: An Evolutionary Approach to Norms. The American Political Science Review 80(4), 1095–1111 (1986)

    Article  Google Scholar 

  26. Wilensky, U.: NetLogo Traffic Grid Model. models/ TrafficGrid, Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL (2003), http://ccl.northwestern.edu/netlogo/

  27. Axelrod, R.: The Evolution of Cooperation. Basic, New York (1984)

    Google Scholar 

  28. Conte, R., Castelfranchi: Understanding the Function of Norms in Social Groups through Simulation. In: Gilbert, N., Conte, R. (eds.) Artificial Societies: The Computer Simulation of Social Life. UCL Press, London (1995)

    Google Scholar 

  29. Epstein, J.: Learning to be thoughtless: Social Norms and Individual Computation. Centre on Social and Economic Dynamics Working Papers, No. 6 (2000)

    Google Scholar 

  30. Sen, S., Airiau, S.: Emergence of Norms through Social Learning. In: IJCAI-2007, pp. 1507–1512 (2007)

    Google Scholar 

  31. Gigliotta, O., Miglino, O., Parisi, D.: Groups of Agents with a Leader. Journal of Artificial Societies and Social Simulation 10(4) (2007)

    Google Scholar 

  32. Wilensky, U.: NetLogo Voting Model. Voting, Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL (1998), http://ccl.northwestern.edu/netlogo/models/

  33. Gautam, D., Singh, R.R., Singh, V.K.: Multi-Agent based Models of Social Contagion and Emergent Collective Behaviour. In: Proceedings of the IEEE International Conference on Intelligent Agents and Multi-agent Systems at Chennai, India (July 2009)

    Google Scholar 

  34. Wilensky, U.: NetLogo. Centre for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL (1999), http://ccl.northwestern.edu/netlogo

  35. Levy, P.: Collective Intelligence: Mankind’s Emerging World in Cyberspace. Perseus Books, Cambridge (1997)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Computer Science, Banaras Hindu University, Varanasi, U.P., India

    Vivek Kumar Singh, Divya Gautam & Rishi Raj Singh

  2. J. K. Institute of Applied Physics & Technology, University of Allahabad, Allahabad, U.P., India

    Ashok K. Gupta

Authors
  1. Vivek Kumar Singh
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  2. Divya Gautam
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  3. Rishi Raj Singh
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  4. Ashok K. Gupta
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Editor information

Editors and Affiliations

  1. Institute of Informatics, Wroclaw University of Technology, Str. Janiszweskiego 11/17, 50-370, Wroclaw, Poland

    Ngoc Thanh Nguyen

  2. Centre for Complex Software Systems and Services, Swinburne University of Technology, Hawthorn, P.O. Box 218, 3122, Victoria, Australia

    Ryszard Kowalczyk

  3. Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, G#43, Sec. 4, Keelung Rd, 106, Taipei, Taiwan, R.O.C.

    Shyi-Ming Chen

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© 2009 Springer-Verlag Berlin Heidelberg

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Singh, V.K., Gautam, D., Singh, R.R., Gupta, A.K. (2009). Agent-Based Computational Modeling of Emergent Collective Intelligence. In: Nguyen, N.T., Kowalczyk, R., Chen, SM. (eds) Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems. ICCCI 2009. Lecture Notes in Computer Science(), vol 5796. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04441-0_21

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  • DOI: https://doi.org/10.1007/978-3-642-04441-0_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04440-3

  • Online ISBN: 978-3-642-04441-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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