Abstract
Complexity and emergence are introduced here in relation with the self-organization of systems in levels of reality.
Evolvability defined as the ability to evolve is the projected way to confront and surpass the successive levels of complexity. Polystochastic models allow refocusing from adaptable to evolvable, from a low dimensional to a higher dimensional insight.
Significant concepts for evolvability as level of reality, circularity, semantic closure, functional circle, circular schema and integrative closure are presented.
The correlation with organic computing or autonomic computing research areas is highlighted.
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Iordache, O. (2010). Introduction. In: Polystochastic Models for Complexity. Understanding Complex Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10654-5_1
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