Abstract
Complexity is perhaps as important a concept for systems science as the concept of a system. It is a difficult concept, primarily because it has many possible meanings. While various specific meanings of complexity have been proposed and discussed on many occasions, there is virtually no sufficiently comprehensive study that attempts to capture its general characteristics. The reason for this situation is well expressed by John Casti [1986]:
The notion of system complexity is much like St. Augustine’s description of time: “What then is time [complexity]? If no one asks me, I know; if I wish to explain it to one that asks, I know not.” There seems to be fairly well-developed intuitive ideas about what constitutes a complex system, but attempts to axiomatize and formalize this sense of the complex all leave a vague, uneasy feeling of basic incompleteness, and a sense of failure to grasp important aspects of the essential nature of the problem.
Complexity is a paradoxical newcomer to the history of science. By a twist of semantic perversity, in proposing an intelligence of complexity, we look first for support from the complexity of intelligence.
—Jean-Louis Le Moigne
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© 2001 Springer Science+Business Media New York
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Klir, G.J. (2001). Complexity. In: Facets of Systems Science. International Federation for Systems Research International Series on Systems Science and Engineering, vol 15. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-1331-5_8
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DOI: https://doi.org/10.1007/978-1-4615-1331-5_8
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