Abstract
We do not attempt to provide yet another definition of self-organization, but explore the conditions under which we can model a system as self-organizing. These involve the dynamics of entropy, and the purpose, aspects, and description level chosen by an observer. We show how, changing the level or “graining” of description, the same system can appear self-organizing or self-disorganizing. We discuss ontological issues we face when studying self-organizing systems, and analyse when designing and controlling artificial self-organizing systems is useful. We conclude that self-organization is a way of observing systems, not an absolute class of systems.
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Heylighen, F.: The Science of Self-organization and Adaptivity, in: Knowledge Management, Organizational Intelligence and Learning, and Complexity. In: The Encyclopedia of Life Support Systems, EOLSS Publishers Co. Ltd. (2003)
Von Foerster, H.: On Self-Organizing Systems and their Environments. In: Yovitts, M.C., Cameron, S. (eds.) Self-Organizing Systems, pp. 31–50. Pergamon Press, Oxford (1960)
Ashby, W.R.: Principles of the Self-organizing System. In: von Foerster, H., Zopf Jr., G.W. (eds.) Principles of Self-organization, pp. 255–278. Pergamon Press, Oxford (1962)
Beer, S.: Decision and Control: The Meaning of Operational Research and Management Cybernetics. John Wiley & Sons, Inc., Chichester (1966)
Heylighen, F., Joslyn, C.: Cybernetics and Second Order Cybernetics. In: Meyers, R.A. (ed.) Encyclopaedia of Physical Science & Technology, 3rd edn., vol. 4, pp. 155–170. Academic Press, London (2001)
Nicolis, G., Prigogine, I.: Self-Organization in Non-Equilibrium Systems: From Dissipative Structures to Order Through Fluctuations. Wiley, Chichester (1977)
Lendaris, G.G.: On the Definition of Self-Organizing Systems. Proceedings of the IEEE (March 1964)
Shalizi, C.R.: Causal Architecture, Complexity and Self-Organization in Time Series and Cellular Automata. Doctoral Dissertation. University of Wisconsin at Madison (2001)
Haken, H.: Synergetics and the Problem of Selforganization. In: Roth, G., Schwegler, H. (eds.) Self-organizing Systems: An Interdisciplinary Approach, pp. 9–13. Campus Verlag (1981)
Hobbs, J.: Granularity. In: Proceedings of the 9th International Joint Conference on Artificial Intelligence, vol. 1, p. 423 (1985)
ten Haaf, W., Bikker, H., Adriaanse, D.J.: Fundamentals of Business Engineering and Management. A Systems Approach to People and Organisations, Delft University Press, The Netherlands (2002)
Koopman, B.: Entropy Increase and Group Symmetry. In: Tribus, M., Levine, I. (eds.) Maximum Entropy Formalism. MIT Press, Cambridge (1978)
Heylighen, F., Gershenson, C.: The Meaning of Self-organization in Computing. IEEE Intelligent Systems, section Trends & Controversies – Selforganization and Information Systems, May/June (2003) (in press)
Gershenson, C.: Complex Philosophy. In: Proceedings of the 1st Biennial Seminar on Philosophical, Methodological & Epistemological Implications of Complexity Theory. La Habana, Cuba 544 (2002); Also in InterJournal of Complex Systems
Rosen, R.: Anticipatory Systems. Pergamon Press, Oxford (1985)
Campbell, D.T.: ‘Downward causation’ in Hierarchically Organized Biological Systems. In: Ayala, F.J., Dobzhansky, T. (eds.) Studies in the Philosophy of Biology, pp. 179–186. Macmillan, Basingstoke (1974)
Prem, E.: Understanding Self-Organization: What can the speaking lion tell us? Oesterreichisches Forschungsinstitut fuer Artificial Intelligence, Wien, TR-93-14 (1993)
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Gershenson, C., Heylighen, F. (2003). When Can We Call a System Self-Organizing?. In: Banzhaf, W., Ziegler, J., Christaller, T., Dittrich, P., Kim, J.T. (eds) Advances in Artificial Life. ECAL 2003. Lecture Notes in Computer Science(), vol 2801. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39432-7_65
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DOI: https://doi.org/10.1007/978-3-540-39432-7_65
Publisher Name: Springer, Berlin, Heidelberg
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