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Algorithmic Complexity and Spatial Simplicity

In: Complexity and Spatial Networks

Author

Listed:
  • Rajendra G. Kulkarni

    (George Mason University)

  • Roger R. Stough
  • Kingsley E. Haynes

Abstract

Recently the field of complexity science has emerged as an amalgamation of many different areas borrowing ideas and attracting researchers from the physical, biological and social sciences (Holland 1992; Bak 1996; Kohonen 1997; Fabian 1998; Wolfram 1994; Kauffman 2000). Of late, much of this interdisciplinary research has been facilitated by ideas and tools borrowed from another field, namely, computer science. Merging of complexity with computer science has provided researchers with a variety of tools to test new ideas and theories and carry out simulations that have offered greater insight into a variety of properties of how complex adaptive behavior evolves and how simple rules guiding interactions at the micro level give rise to complex macro behavior as well as to identifying the properties of self-organization and emergent behaviors.

Suggested Citation

  • Rajendra G. Kulkarni & Roger R. Stough & Kingsley E. Haynes, 2009. "Algorithmic Complexity and Spatial Simplicity," Advances in Spatial Science, in: Aura Reggiani & Peter Nijkamp (ed.), Complexity and Spatial Networks, chapter 0, pages 61-73, Springer.
    • Handle: RePEc:spr:adspcp:978-3-642-01554-0_5
    DOI: 10.1007/978-3-642-01554-0_5
    as

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