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Titlebook: Unifying Themes in Complex Systems; Vol VI: Proceedings Ali Minai,Dan Braha,Yaneer Bar-Yam Conference proceedings 2008 Springer-Verlag Ber

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978-3-540-85080-9Springer-Verlag Berlin Heidelberg 2008
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Dual phase evolution — a mechanism for self-organization in complex systemsabout the ways in which different processes act in concert with one another. In particular, the relationships between self-organization, natural selection and the evolution of complexity remain unclear.
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ilization in this field.In recent years, scientists have applied the principles of complex systems science to increasingly diverse fields. The results have been nothing short of remarkable: their novel approaches have provided answers to long-standing questions in biology, ecology, physics, engineer
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Emergence, Intrinsic Structure of Information, and Agenthoodtional structure of the information dynamics of a system. This approach is devoid of any external constraints and purely a property of the information dynamics itself. We then briefly discuss how emergence naturally connects to the concept of agenthood which has been recently defined using information flows.
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Complex Knowledge Networks and Invention Collaboration where the probability that an inventor (collaborator) is highly connected is statistically more likely than would be expected via random connections and associations, with the network’s properties determined by a relatively small number of highly connected inventors (collaborators) known as hubs. Potential areas of application are suggested.
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A new measure of heterogeneity of complex networks based on degree sequenceeous as scaling exponent decreases. It is also demonstrated that NEDS of scale-free networks is independent of the size of networks which indicates that NEDS is a suitable and effective measure of heterogeneity.
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