Abstract
In a multi-agent environment, a series of interaction emerges that determines the flow of actions each agent should execute in order to accomplish its individual goal. Ultimately, each goal realigns to manifest the agents’ common goal. In a collective environment, these agents retain only one common goal from the start, which is achieved through a series of communication processes that involve discussions, group reasoning, decision-making and performing actions. Both the reasoning and decision-making phases diffuse knowledge in the form of proven beliefs between these agents. In this paper, we describe the concept of discussions, group reasoning and decision making, followed by its corresponding attributes in proposing a preliminary Collective Intelligence theory.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Amgoud, L., Parsons, S., Maudet, N.: Arguments, Dialogue and Negotiation. In: Proceedings of the 14th European Conference on Artificial Intelligence, Berlin, Germany, pp. 338–342 (2000)
Chen, A., McLeod, D.: Collaborative Filtering for Information Recommendation Systems. Encyclopedia of Data Warehousing and Mining. Idea Group (2005)
Craig, R.T.: Communication Theory as a Field. Asimilar effort is offered by James A. Anderson. Communication Theory: Epistemological Foundations. Guilford, New York (1996)
Eppler, M.J.: Knowledge Communication, pp. 515–526 (2011)
Freitsis, E.: Negotiations in the pollution sharing problem. Master’s thesis, BarIlan University (2000)
Gunasekaran, S.S., Mostafa, S.A., Ahmad, M.: The emergence of collective intelligence. In: 2013 International Conference on Research and Innovation in Information Systems (ICRIIS), pp. 451–456. IEEE (2013)
Gunasekaran, S.S., Mostafa, S.A., Ahmad, M.: Personal Intelligence and Extended Intelligence in CI. In: 13th International Conference on Intelligent Systems Design and Applications (ISDA), pp. 199–204 (2013)
Gratton, L., Ghoshal, S.: Improving the quality of conversations. Organizational Dynamics 31, 209–223 (2002)
http://www.businessdictionary.com/definition/communication.html#ixzz30zXMJYkl
http://wiki.answers.com/Q/What_is_the_difference_between_knowledge_and_intelligence
Salminen, J.: Collective Intelligence. Collective Intelligence in Humans: A literature Review, 1Proceedings (2012)
Levy, P.: From Social Computing to Reflexive Collective Intelligence: The IEML Research Program. Information Sciences 180, 71–94 (2010)
Lévy, P.: Collective Intelligence: Mankind’s Emerging World in Cyberspace. Plenum Press, New York (1997)
Lunenburg, F.C.: Communication: The process, barriers, and improving effectiveness, pp. 1–11 (2010)
Martijn, C.S.: On Model Design for Simulation of Collective Intelligence. Journal of Information Sciences 180, 132–155 (2010)
Jennings, N.R., Faratin, P., Lomuscio, A.R., Parsons, S., Sierra, C., Wooldridge, M.: Automated haggling: Building artificial negotiators. In: PacificRim International Conference on Artificial Intelligence, p. 1 (2000)
Rosenthal, U., ‘t Hart: Experts and Decision Makers in Crisis Situation. In: Knowledge: Creation, Diffusion, Utilization, vol. 12(4), pp. 350–372 (June 1991)
Singh, V.K., Gautam, D., Singh, R.R., Gupta, A.K.: Agent-Based Computational Modeling of Emergent Collective Intelligence. In: Nguyen, N.T., Kowalczyk, R., Chen, S.-M. (eds.) ICCCI 2009. LNCS (LNAI), vol. 5796, pp. 240–251. Springer, Heidelberg (2009)
Singh, V.K., Gupta, A.K.: Agent Based Models of Social Systems and Collective Intelligence. IAMA (2009)
Scarbrough, H.: Blackboxes, Hostages and Prisoners. Organization Studies 16(6), 991–1019 (1995)
Schank, R.C., Abelson, R.P.: Scripts, plans, goals, and understanding: An inquiry into human knowledge structures. Psychology Press (2013)
Malone, T.W.: Climate CoLab, Collective intelligence to address climate change - finalists chosen in world-wide contest. MIT Sloan Experts Blog (November 1, 2011)
Malone, T.: Can Collective Intelligence Save the planet. MIT Sloan Management Review (May 05, 2009)
Tsoukas, H.: The Firm as a Distributed Knowledge System: A Constructionist Approach. Strategic Management Journal 17, 11–25 (1996)
Wolley, et al.: Evidence for a collective intelligence factor in the performance of human groups (October 31, 2010), http://www.sciencmag.org
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Gunasekaran, S.S., Mostafa, S.A., Ahmad, M.S. (2015). Knowledge Transfer Model in Collective Intelligence Theory. In: El-Alfy, ES., Thampi, S., Takagi, H., Piramuthu, S., Hanne, T. (eds) Advances in Intelligent Informatics. Advances in Intelligent Systems and Computing, vol 320. Springer, Cham. https://doi.org/10.1007/978-3-319-11218-3_43
Download citation
DOI: https://doi.org/10.1007/978-3-319-11218-3_43
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11217-6
Online ISBN: 978-3-319-11218-3
eBook Packages: EngineeringEngineering (R0)