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Design Versus Self-Organization

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Advances in Applied Self-Organizing Systems

Part of the book series: Advanced Information and Knowledge Processing ((AI&KP))

Abstract

The theory of self-organization has sufficiently matured over the last decades, and begins to find practical applications in many fields. Rather than analyzing and comparing underlying definitions of self-organization—the task complicated by a multiplicity of complementary approaches in literature; e.g., recent reviews (Boschetti et al. in Lecture notes in computer science, vol. 3684, pp. 573–580. Springer, Berlin, 2005; Prokopenko et al. in Complexity 15(1):11–28, 2009)—we investigate a possible design space for self-organizing systems, and examine ways to balance design and self-organization in the context of applications.

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Notes

  1. 1.

    According to Prigogine (1980), a thermodynamic system can be in a steady state while being not in equilibrium.

  2. 2.

    Statistical complexity is also an upper bound of predictive information, or structure, within the system (Bialek et al. 2001; De Wolf and Holvoet 2005).

  3. 3.

    Although Correia refers to this as adaptability, he in fact defines robustness.

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Acknowledgements

The Author would like to thank members of the discussion group on “Entropy and self-organisation in multi-agent systems”, particularly Vadim Gerasimov, Nigel Hoschke, Joseph Lizier, George Mathews, Mahendra Piraveenan, and Don Price. The support of the CSIRO Emergence interaction task and the CSIRO Complex Systems Science Theme is gratefully acknowledged. Special thanks to Fabio Boschetti, Tony Farmer, Tomonari Furukawa, Carlos Gershenson, Geoff James, Antonio Lafusa, Ron Li, Abhaya Nayak, Oliver Obst, Daniel Polani, Geoff Poulton, Alex Ryan, Ivan Tanev, Tino Schlegel, Phil Valencia, and X. Rosalind Wang for their insightful comments.

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    Mikhail Prokopenko

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Prokopenko, M. (2013). Design Versus Self-Organization. In: Prokopenko, M. (eds) Advances in Applied Self-Organizing Systems. Advanced Information and Knowledge Processing. Springer, London. https://doi.org/10.1007/978-1-4471-5113-5_1

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