Abstract
In some contexts, complexity is a desirable property, i.e., we search, within given constraints, for systems with a high degree of complexity. Cryptography and the design of random number generators are two typical examples of such contexts. In some situations, a certain degree of complexity is a necessary condition for obtaining some specific systems properties, usually referred to as emergent properties. Self-reproduction, learning, and evolution are examples of such properties.
The Scientist, like the Pilgrim, must wend a straight and narrow path between the Pitfalls of Oversimplification and the Morass of Overcomplication
—Richard Bellman
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© 1991 Springer Science+Business Media New York
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Klir, G.J. (1991). Simplification Strategies. In: Facets of Systems Science. International Federation for Systems Research International Series on Systems Science and Engineering, vol 7. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-0718-9_9
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DOI: https://doi.org/10.1007/978-1-4899-0718-9_9
Publisher Name: Springer, Boston, MA
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