Abstract
Self-organization of matter has been the subject matter of intense research in last decades [1],[2],[3]]. This concept expresses the fact that an ensemble of units in interaction may exhibit collective behavior not seen in separate entities. These emerging states are the property of the system as a whole. Self-organizational ability and the ensuing emerging properties were shown to play a crucial role in hydrodynamics, in chemistry and above all in biology. Indeed it has been shown the possibility that self-organization is the basic principle governing the emergence of genetic material from simple molecules [4]. The same principle is shown to be at work at cellular, embryonic and cortical level, regulating the key processes of life [3].
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Sepulchre, J.A., Babloyantz, A. (1991). Spatio-temporal Patterns and Network Computation. In: Babloyantz, A. (eds) Self-Organization, Emerging Properties, and Learning. NATO ASI Series, vol 260. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-3778-6_1
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DOI: https://doi.org/10.1007/978-1-4615-3778-6_1
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