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Searching NK Fitness Landscapes: On the Trade Off Between Speed and Quality in Complex Problem Solving

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  • Sylvie Geisendorf

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File URL: http://hdl.handle.net/10.1007/s10614-009-9192-4
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Bibliographic Info

Article provided by Society for Computational Economics in its journal Computational Economics.

Volume (Year): 35 (2010)
Issue (Month): 4 (April)
Pages: 395-406

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Handle: RePEc:kap:compec:v:35:y:2010:i:4:p:395-406

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Web page: http://www.springerlink.com/link.asp?id=100248
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Related research

Keywords: NK-model; Innovation; Search processes; Complexity reduction; Modularity; Decomposition;

References

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  1. Frenken, Koen, 2006. "A fitness landscape approach to technological complexity, modularity, and vertical disintegration," Structural Change and Economic Dynamics, Elsevier, vol. 17(3), pages 288-305, September.
  2. Philip Auerswald & Stuart Kauffman & Jose Lobo & Karl Shell, 1998. "The Production Recipes Approach to Modeling Technological Innovation: An Application to Learning By Doing," Working Papers 98-11-100, Santa Fe Institute.
  3. Koen Frenken, 2006. "Technological innovation and complexity theory," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 15(2), pages 137-155.
  4. Marengo, Luigi & Dosi, Giovanni, 2005. "Division of labor, organizational coordination and market mechanisms in collective problem-solving," Journal of Economic Behavior & Organization, Elsevier, vol. 58(2), pages 303-326, October.
  5. Koen Frenken & Marco Valente, 2002. "The Organisation of Innovative Activity in Complex Fitness Landscapes," Computing in Economics and Finance 2002 157, Society for Computational Economics.
  6. Nicolas Garrido, 2003. "The desirable organizational structure for evolutionary firms in static landscapes," Department of Economics Working Papers 0305, Department of Economics, University of Trento, Italia.
  7. Fleming, Lee & Sorenson, Olav, 2001. "Technology as a complex adaptive system: evidence from patent data," Research Policy, Elsevier, vol. 30(7), pages 1019-1039, August.
  8. Jason Barr & Nobuyuki Hanaki, 2008. "Organizations undertaking complex projects in uncertain environments," Journal of Economic Interaction and Coordination, Springer, vol. 3(2), pages 119-135, December.
  9. Giorgio Fagiolo & Luigi Marengo & Marco Valente, 2005. "Population Learning in a Model with Random Payoff Landscapes and Endogenous Networks," Computational Economics, Society for Computational Economics, vol. 24(4), pages 383-408, June.
  10. Heiner, Ronald A, 1983. "The Origin of Predictable Behavior," American Economic Review, American Economic Association, vol. 73(4), pages 560-95, September.
  11. Paulo J. Gomes & Nitin R. Joglekar, 2008. "Linking modularity with problem solving and coordination efforts," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 29(5), pages 443-457.
  12. Gibbons, Michael & Johnston, Ron, 1974. "The roles of science in technological innovation," Research Policy, Elsevier, vol. 3(3), pages 220-242, November.
  13. Jose Lobo & William G. Macready, 1999. "Landscapes: A Natural Extension of Search Theory," Working Papers 99-05-037, Santa Fe Institute.
  14. Stefano Brusoni & Luigi Marengo & Andrea Prencipe & Marco Valente, 2004. "The Value and Costs of Modularity: A Cognitive Perspective," SPRU Working Paper Series 123, SPRU - Science and Technology Policy Research, University of Sussex.
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Cited by:
  1. Koen Frenken & Stefan Mendritzki, 2012. "Optimal modularity: a demonstration of the evolutionary advantage of modular architectures," Journal of Evolutionary Economics, Springer, vol. 22(5), pages 935-956, November.

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