Building a Science of Complexity

It is argued that in order to solve complex problems we need a new approach, which is neither reductionistic nor holistic, but based on the entanglement of  distinction and connection, of disorder and order, thus defining a science of complexity. A model of complex evolution is proposed, based on distributed variation through recombination and mutation, and selective retention of internally stable systems. Internal stability is then analysed through a generalized mathematical closure property. Examples of closure in self-organizing and cognitive systems are discussed.

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About Giorgio Bertini

Research Professor. Founder Director at Learning Change Project - Research on society, culture, art, neuroscience, cognition, critical thinking, intelligence, creativity, autopoiesis, self-organization, rhizomes, complexity, systems, networks, leadership, sustainability, thinkers, futures ++
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