Making sense of the collective intelligence field: A review
DOI:
https://doi.org/10.37380/jisib.v9i2.465Keywords:
Collective intelligence, social intelligence, social systems, wisdom of crowdsAbstract
The problem we want to solve is to find out what is new in the collective intelligence literature and how it is to be understood alongside other social science disciplines. The reason it is important is that collective intelligence and problems of collaboration seem familiar in the social sciences but do not necessarily fit into any of the established disciplines. Also, collective intelligence is often associated with the notion of wisdom of crowds, which demands scrutiny. We found that the collective intelligence field is valuable, truly interdisciplinary, and part of a paradigm shift in the social sciences. However, the content is not new, as suggested by the comparison with social intelligence, which is often uncritical and lacking in the data it shows and that the notion of the wisdom of crowds is misleading (RQ1). The study of social systems is still highly relevant for social scientists and scholars of collective intelligence as an alternative methodology to more traditional social science paradigms as found, for example, in the study of business or management (RQ2).References
Ackoff, R. L. (1971). Towards a system of systems concepts. Management science, 17(11), 661-671.
Von Bertalanffy, L. (1968). General system theory. New York, 41973, 40.
Boulding, K. E. (1956). General systems theory— the skeleton of science. Management science, 2(3), 197-208.
Corvaja, A. S., Jeraj, B., & Borghoff, U. M. (2016). The Rise of Intelligence Studies: A Model for Germany? Connections, 15(1), 79-106.
Dedijer, S. (2010). Stevan Dedijer: My Life of Curiosity and Insights: a Chronicle of the 20th Century. Nordic Academic Press.
Dedijer, S. (1999). Doing business in a changed world: The intelligence revolution and our planetary civilization. Competitive Intelligence Review: Published in Cooperation with the Society of Competitive Intelligence Professionals, 10(3), 67-78.
Engel, D., Woolley, A. W., Jing, L. X., Chabris, C. F., & Malone, T. W. (2014). Reading the mind in the eyes or reading between the lines? Theory of mind predicts collective intelligence equally well online and face-to-face. PloS one, 9(12), e115212.
Franks, N. R., Pratt, S. C., Mallon, E. B., Britton, N. F., & Sumpter, D. J. (2002). Information flow, opinion polling and collective intelligence in house–hunting social insects. Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, 357(1427), 1567-1583.
Franks, N. R. (1989). Army ants: a collective intelligence. Am. Sci. 77, 138–145.
Galton, F. (1886). Regression towards mediocrity in hereditary stature. The Journal of the Anthropological Institute of Great Britain and Ireland, 15, 246-263.
Gregg, D. G. (2010). Designing for collective intelligence. Communications of the ACM, 53(4), 134-138.
Hoogenboom, B. (2006). Grey intelligence. Crime, Law and Social Change, 45(4-5), 373-381.
Hulnick, A. S. (2010). The dilemma of open sources intelligence: Is OSINT really intelligence?. In The Oxford handbook of national security intelligence.
Johnson, L. K. (Ed.). (2007). Handbook of intelligence studies. Routledge.
Keefe, P. R. (2010). Privatized spying: the emerging intelligence industry. In The Oxford handbook of national security intelligence.
Kuhn, T. S. (1962). The structure of scientific revolutions. Chicago and London. Lanier, J. (2006). Digital maoism. The Edge. org.
Lahneman, W. J. (2010). The need for a new intelligence paradigm. International Journal of Intelligence and CounterIntelligence, 23(2), 201-225.
Leimeister, J. M. (2010). Collective intelligence. Business & Information Systems Engineering, 2(4), 245-248.
Lykourentzou, I., Papadaki, K., Vergados, D. J., Polemi, D., & Loumos, V. (2010). CorpWiki: A self-regulating wiki to promote corporate collective intelligence through expert peer matching. Information Sciences, 180(1), 18-38.
Lynn, R., & Hampson, S. (1986). The rise of national intelligence: Evidence from Britain, Japan and the USA. Personality and individual differences, 7(1), 23-32.
Luhmann, N. (1968). Zweckbegriff und Systemrationalität. Tübingen: Mohr.
Luhmann, N., & Rechtswissenschaftler, S. (1984). Soziale systeme: grundriss einer allgemeinen theorie (Vol. 242). Frankfurt am Main: Suhrkamp.
Luttwak, E. N. (1990). From geopolitics to geo- economics: Logic of conflict, grammar of commerce. The National Interest, (20), 17-23.
MacKay, C. (1841). Extraordinary Popular Delusions and the Madness of Crowds. Amherst NY.
Magnusson, D. (Ed.) (1996). The lifespan development of individuals-behavioral, neurobiological and psychological perspectives: A synthesis.
Mainzer, K. (2007). Thinking in complexity: The computational dynamics of matter, mind, and mankind. Springer Science & Business Media. Nguyen, N. T. (2008). Inconsistency of knowledge and collective intelligence. Cybernetics and Systems: An International Journal, 39(6), 542-562.
Rheingold, H. (2002). Smart Mobs: the next social revolution Cambridge. MA: Perseus.
Rajasekhar, A., Lynn, N., Das, S., & Suganthan, P. N. (2017). Computing with the collective intelligence of honey bees–a survey. Swarm and Evolutionary Computation, 32, 25-48.
Rathmell, A. (2002). Towards postmodern intelligence. Intelligence and National Security, 17(3), 87-104.
Shum, S. B., Aberer, K., Schmidt, A., Bishop, S., Lukowicz, P., Anderson, S., ... & Edmonds, B. (2012). Towards a global participatory platform. The European Physical Journal Special Topics, 214(1), 109-152.
Surowiecki J (2004) The wisdom of crowds: why the many are smarter than the few and how collective wisdom shapes business, economies, societies, and nations. 1st Doubleday Books, New York
Sörensen, K. (2015). Metaheuristics—the metaphor exposed. International Transactions in Operational Research, 22(1), 3-18.
Tammet, D. (2009). Embracing the wide sky: A tour across the horizons of the mind. Simon and Schuster.
Toffler, A., & Alvin, T. (1980). The third wave (Vol. 484). New York: Bantam books.
Wolf, M., Krause, J., Carney, P. A., Bogart, A., & Kurvers, R. H. (2015). Collective intelligence meets medical decision-making: the collective outperforms the best radiologist. PloS one, 10(8), e0134269.
Woolley, A. W., Aggarwal, I., & Malone, T. W. (2015). Collective intelligence and group performance. Current Directions in Psychological Science, 24(6), 420-424.
Woolley, A. W., Chabris, C. F., Pentland, A., Hashmi, N., & Malone, T. W. (2010). Evidence for a collective intelligence factor in the performance of human groups. science, 330(6004), 686-688.
Young, M. (1958). The rise of the meritocracy. Routledge.
Zadeh, L. A. (2008). Toward human level machine intelligence-is it achievable? the need for a paradigm shift. IEEE Computational Intelligence Magazine, 3(3), 11-22.
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