EMERGING THE EMERGENCE SOCIOLOGY: The Philosophical Framework of Agent-Based Social Studies

Situngkir, Hokky (2003) EMERGING THE EMERGENCE SOCIOLOGY: The Philosophical Framework of Agent-Based Social Studies. [Journal (On-line/Unpaginated)]

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The structuration theory originally provided by Anthony Giddens and the advance improvement of the theory has been trying to solve the dilemma came up in the epistemological aspects of the social sciences and humanity. Social scientists apparently have to choose whether they are too sociological or too psychological. Nonetheless, in the works of the classical sociologist, Emile Durkheim, this thing has been stated long time ago. The usage of some models to construct the bottom-up theories has followed the vast of computational technology. This model is well known as the agent based modeling. This paper is giving a philosophical perspective of the agent-based social sciences, as the sociology to cope the emergent factors coming up in the sociological analysis. The framework is made by using the artificial neural network model to show how the emergent phenomena came from the complex system. Understanding the society has self-organizing (autopoietic) properties, the Kohonen’s self-organizing map is used in the paper. By the simulation examples, it can be seen obviously that the emergent phenomena in social system are seen by the sociologist apart from the qualitative framework on the atomistic sociology. In the end of the paper, it is clear that the emergence sociology is needed for sharpening the sociological analysis in the emergence sociology.

Item Type:Journal (On-line/Unpaginated)
Keywords:Sociology, emergence, agent-based, structuration, communication,neural network.
Subjects:Philosophy > Epistemology
ID Code:3520
Deposited By:Situngkir, Mr Hokky
Deposited On:23 Mar 2004
Last Modified:11 Mar 2011 08:55

References in Article

Select the SEEK icon to attempt to find the referenced article. If it does not appear to be in cogprints you will be forwarded to the paracite service. Poorly formated references will probably not work.

1. Amari, Shun-Ichi (1993), Mathematical Methods of Neurocomputing, in Barndorff-Nielsen, O.E., J.L. Jensen, and W.S.Kendall (ed.), Networks and Chaos: Statistical and Probabilistic Aspects, Chapman & Hall.

2. Axelrod, Robert. 1997. Advancing the Art of Simulation in the Social Sciences, published in Conte, Rosario., Hegselman, Rainer., and Terna, Pietro. (eds.). Simulating Social Phenomena, Berlin: Springer. pp.21-40.

3. Axtell, R.L. and Epstein, J.M. 1994, Agent-based Modelling: Understanding our Creations. The Bulletin of the Santa Fe Institute, 9, 28-32.

4. Barnhart, Adam (1994), Erving Goffman: The Presentation of Self in Everyday Life, online publication, URL:

5. Beatty, Ian D. (1995), Neural Network Dynamics, Complexity, and Cognition, Physics Education Research Group, University of Massachutes. URL:

6. Blumer, Herbert (2001), Symbolic Interactionism as Defined By Herbert Blumer. URL: http://www.the/

7. Boeree, C. George (1997), Sociobiology, in Personality Theories, Psychology Department, Shippensburg University, on-line publication, URL:

8. Bolland, Scott, Introduction to Matlab for Cognitive Modellers, A 1 Day Workshop, July 1st 2002, School of Computer Science and Electrical

Engineering, URL:

9. Chattoe, Edmund (1998), Just How (Un)realistic are Evolutionary Algorithms as Representations of Social Processes?, Journal of Artificial Societies and Social Simulation vol. 1, no. 3, URL:

10. Contractor, Noshir S. (1998), Self-organizing System Research in The Social Sciences: Reconciling the Metaphors and the Models, paper presented at joint session of the Organizational Communication Division and Information Systems Division at the 48th Annual Conference of the International Communication Association, Jerusalem, July 1998.

11. Contractor , Noshir S., Robert Whitbred, Fabio Fonti, Andrew Hyatt, Barbara O’Keefe, and Patricia Jones (2000), Structuration Theory and The Evolution of Networks, paper presented at the 2000 Winter Organizational Science Conference.

12. Craib, Ian (1992), Modern Social Theory: From Parsons to Habermas, 2nd edition, Harvester Wheatsheaf.

13. Delorme, Marianne, Introduction to Cellular Automata, Research Report 98-37, Laboratoire de l’Informatique du Parall´elisme, Ecole Normale Superiore de Lyon, 1998.

14. Demuth, Howard, Mark Beale (1998), Neural Network Toolbox For Use with MatlabTM, Matlab User Guide, The Mathworks Inc.

15. Dennis, Simon (1997), Introduction to Neural Networks, on-line publication, URL:

16. Durkheim, Emile (1895), Les Régles de la Méthode Sociologique, republished as The Rules of Sociological Method, The Free Press, 1965.

17. Emmeche, Claus, Modeling life: a note on the semiotics of emergence and computation in artificial and natural living systems, in Biosemiotics. The Semiotic Web, Mouton de Gruyter Publishers, Berlin and New York, 1992.

18. Fliedner, Dietrich (2001), Six Levels of Complexity; A Typology of Processes and Systems, Journal of Artificial Societies and Social Simulation vol. 4, no. 1, URL:

19. Franzini, Lorena, Paola Bolchi, and Lidia Diappi (2001), Self Organizing Maps: A Clustering Neural Method for Urban Analysis, V Rencontres de Théo Quant.

20. Freud, Sigmund (1930), Civilization and Its Discontents, in Ebenstein, William (1960), Great Political Thinkers, Holt, Rinehart, and Winston.

21. Giddens, A. (1979). Central Problems in Social Theory: Action, Structure and Contradictions in Social Analysis. Macmillan.

22. Giddens, A. (1984), The Constitution of Society, Polity Press.

23. Giddens, A. (1993), New Rules of Sociological Method, Polity Press.

24. Gintis, Herbert (2003), Towards a Unity of The Human Behavioral Sciences, Working Paper 03-02-015, Santa Fe Institute.

25. Goldspink, Chris (2000), Modeling Social Systems as Complex: Towards a Social Simulation Meta-Model, in Journal of Artificial Societies and Social Simulation, Vol.3 No.2. URL:

26. Gurney, Kevin (1997), Neural Nets, UCL Press Ltd., London.

27. Gutowitz, H.A. (ed), Cellular Automata, MIT Press, Cambridge, 1990.

28. Holland, J. (1998), Emergence: from Chaos to Order, Reading, Addison-Wesley.

29. Jang J.S., C.T. Sun, E. Mitzuni (1996), Neuro-Fuzzy and Soft Computing, Prentice-Hall.

30. Jennings, Nicholas R. 2000. On Agent-based Software Engineering. Journal of Artificial Intelligence No.117, pp.277-296

31. Joslyn, Cliff and Luis M. Rocha (2000), Towards Semiotic Agent-Based Models of Socio-Technical Organizations, Proc. AI, Simulation and Planning in High Autonomy Systems (AIS 2000) Conference, Tucson, Arizona, pp. 70-79. URL:

32. Kauffman, Stuart A. (1993), The Origins of Order: Self-Organization and Selection in Evolution, Oxford University Press.

33. Klüver, Jürgen and Jörn Schmidt (1999), Topology, Metric and Dynamics of Social Systems, Journal of Artificial Societies and Social Simulation vol. 2, no. 3, URL:

34. Kohonen, T. (1989), Self-Organizing Maps, Springer-Verlag.

35. Kriegman, Daniel and Charles Knight (1988), Social Evolution, Psychoanalysis, and Human Nature, Social Policy, Fall 1988, pp. 49-55

36. Land, Bruce, Computing for Neurobiology, BioNB441, Cornell University, Fall 2002, online: URL:

37. Leydesdorff, Loet (2002), ‘Interaction’ versus ‘Action’ in Luhman’s Sociology of Communication, in Grant, Colin B., Radical Communication: Rethinking Interaction and Dialogue, URL:

38. Luhmann, N. (1990), The autopoiesis of social systems, in Essays on selfreference, pp. 1-21, Columbia University Press.

39. Maturana, H., & Varela, F. (1988), The Tree of Knowledge: The Biological Roots of Human Understanding, Shambhala Books.

40. Mitchell, M., P.T. Hraber, and J.P. Crutchfield, Revisiting the edge of chaos: Evolving cellular automata to perform computations. Complex Systems, 1993.7: hal. 89-130.

41. Monge, Peter R. and Noshir S. Contractor (2003), Theories of Communication Networks, Oxford University Press.

42. Paplinski, Andrew P., and Bin Qiu (2002), Neural Networks (Neuro-Fuzzy Computing), hand-out of lecture CSE301, Monash University, URL:

43. Sawyer, R. Keith (2002), Durkheim’s Dilemma: Toward a Sociology of

Emergence, in Sociological Theory 20:2, July 2002, American Sociological Association.

44. Situngkir, Hokky (2002a), From Structuration Theory of Giddens to the New Complexity Science, unpublished essay.

45. Situngkir, Hokky (2002b), Apa Yang Bisa Kita Ketahui: Memperkenalkan Humaniora Integratif Chaotik, Working Paper WPA2002, Bandung Fe Institute.

46. Skinner, B.F. (1971), Beyond Freedom and Dignity, Bantam Books.

47. Turchin, Valentin F., The Phenomenon of Science: a cybernetic approach to human evolution, Columbia University Press, New York, 1977.

48. Zeidenberg, Matthew (1991), Neural Networks in Artificial Intelligence, Ellis Horwood, Ltd.

49. Zimmerman, Georg, Ralph Neuneier and Ralph Grothman (2001), Multi-Agent Market Modeling of Foreign Exchange Rate, in Advances in Complex System, Vol.4 No. 1, pp.29-43, World Scientific Publishing Company.


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