Summary
Complex computing systems begin to overwhelm the capacities of software developers and administrators. Self-organization has been a successful strategy of evolution to handle the increasing complexity of organisms with the emergence of novel structures and behavior. Thus, self-organization and emergence are fundamental concepts of organic computing. But these concepts are often used in a more or less intuitive manner. In the theory of complex systems and nonlinear dynamics, self-organization and emergence can be mathematically defined. Actually, these concepts are independent of biological applications, but universal features of dynamical systems. We get an interdisciplinary framework to understand self-organizing complex systems and to ask for applications in organic computing. In technology, the emergence of order and structures displays desired and undesired synergetic effects. Thus, controlled emergence is a challenge of computational systems simulating self-organizing organic systems of evolution. The question arises how far can we go in simulating high dimensional complex systems and avoiding uncontrolled risks.
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Mainzer, K. (2009). Organic Computing and Complex Dynamical Systems – Conceptual Foundations and Interdisciplinary Perspectives. In: Organic Computing. Understanding Complex Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77657-4_5
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DOI: https://doi.org/10.1007/978-3-540-77657-4_5
Publisher Name: Springer, Berlin, Heidelberg
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