IDEAS home Printed from https://ideas.repec.org/a/jas/jasssj/2008-56-2.html

Sendero: An Extended, Agent-Based Implementation of Kauffman's NKCS Model

Author

Listed:

Abstract

The idea of agents exploring a fitness landscape in which they seek to move from 'fitness valleys' to higher 'fitness peaks' has been presented by Kauffman in the NK and NKCS models. The NK model addresses single species while the NKCS extension illustrates coevolving species on coupled fitness landscapes. We describe an agent-based simulation (Sendero), built in Repast, of the NK and NKCS models. The results from Sendero are validated against Kauffman's findings for the NK and NKCS models. We also describe extensions to the basic model, including population dynamics and communication networks for NK, and directed graphs and variable change rates for NKCS. The Sendero software is available as open source under the BSD licence and is thus available for download and extension by the research community.

Suggested Citation

  • Julian Padget & Richard Vidgen & James Mitchell & Amy Marshall & Rick Mellor, 2009. "Sendero: An Extended, Agent-Based Implementation of Kauffman's NKCS Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(4), pages 1-8.
  • Handle: RePEc:jas:jasssj:2008-56-2
    as

    Download full text from publisher

    File URL: https://www.jasss.org/12/4/8/8.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Edward D. Weinberger, 1996. "NP Completeness of Kauffman's N-k Model, A Tuneable Rugged Fitness Landscape," Working Papers 96-02-003, Santa Fe Institute.
    2. Jan W. Rivkin, 2000. "Imitation of Complex Strategies," Management Science, INFORMS, vol. 46(6), pages 824-844, June.
    3. Daniel A. Levinthal, 1997. "Adaptation on Rugged Landscapes," Management Science, INFORMS, vol. 43(7), pages 934-950, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hindle, Giles A. & Vidgen, Richard, 2018. "Developing a business analytics methodology: A case study in the foodbank sector," European Journal of Operational Research, Elsevier, vol. 268(3), pages 836-851.
    2. repec:plo:pone00:0239972 is not listed on IDEAS

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Teppo Felin & Stuart Kauffman & Roger Koppl & Giuseppe Longo, 2014. "Economic Opportunity and Evolution: Beyond Landscapes and Bounded Rationality," Post-Print hal-01415115, HAL.
    2. Felipe A. Csaszar & Nicolaj Siggelkow, 2010. "How Much to Copy? Determinants of Effective Imitation Breadth," Organization Science, INFORMS, vol. 21(3), pages 661-676, June.
    3. Jörg Claussen & Tobias Kretschmer & Nils Stieglitz, 2015. "Vertical Scope, Turbulence, and the Benefits of Commitment and Flexibility," Management Science, INFORMS, vol. 61(4), pages 915-929, April.
    4. Giovanni Gavetti & Constance E. Helfat & Luigi Marengo, 2017. "Searching, Shaping, and the Quest for Superior Performance," Strategy Science, INFORMS, vol. 2(3), pages 194-209, September.
    5. Karén Hovhannisian & Marco Valente, 2005. "Modeling Directed Local Search Strategies on Technology," Computational Economics 0507001, University Library of Munich, Germany.
    6. Shelley D. Dionne & Hiroki Sayama & Francis J. Yammarino, 2019. "Diversity and Social Network Structure in Collective Decision Making: Evolutionary Perspectives with Agent-Based Simulations," Complexity, Hindawi, vol. 2019, pages 1-16, March.
    7. Nicolaj Siggelkow & Jan W. Rivkin, 2005. "Speed and Search: Designing Organizations for Turbulence and Complexity," Organization Science, INFORMS, vol. 16(2), pages 101-122, April.
    8. Sai Yayavaram & Wei-Ru Chen, 2015. "Changes in firm knowledge couplings and firm innovation performance: The moderating role of technological complexity," Strategic Management Journal, Wiley Blackwell, vol. 36(3), pages 377-396, March.
    9. Bhawe, Nachiket & Rawhouser, Hans & Pollack, Jeffrey M., 2016. "Horse and cart: The role of resource acquisition order in new ventures," Journal of Business Venturing Insights, Elsevier, vol. 6(C), pages 7-13.
    10. Ganco, Martin, 2017. "NK model as a representation of innovative search," Research Policy, Elsevier, vol. 46(10), pages 1783-1800.
    11. Felipe A. Csaszar & Daniel A. Levinthal, 2016. "Mental representation and the discovery of new strategies," Strategic Management Journal, Wiley Blackwell, vol. 37(10), pages 2031-2049, October.
    12. Richard M. Burton & Jørgen Lauridsen & Børge Obel, 2003. "Erratum: Return on Assets Loss from Situational and Contingency Misfits," Management Science, INFORMS, vol. 49(8), pages 1119-1119, August.
    13. den Hamer, Pieter & Frenken, Koen, 2021. "A network-based model of exploration and exploitation," Journal of Business Research, Elsevier, vol. 129(C), pages 589-599.
    14. Karén Hovhannissian & Marco Valente, 2004. "Modeling Directed Local Search Strategies on Technology Landscapes: Depth and Breadth," ROCK Working Papers 028, Department of Computer and Management Sciences, University of Trento, Italy, revised 17 Jun 2008.
    15. Gino Cattani & Daniel Sands & Joe Porac & Jason Greenberg, 2018. "Competitive Sensemaking in Value Creation and Capture," Strategy Science, INFORMS, vol. 3(4), pages 632-657, December.
    16. Marco Valente, 2014. "An NK-like model for complexity," Journal of Evolutionary Economics, Springer, vol. 24(1), pages 107-134, January.
    17. Gwendolyn K. Lee & Mishari A. Alnahedh, 2016. "Industries’ Potential for Interdependency and Profitability: A Panel of 135 Industries, 1988–1996," Strategy Science, INFORMS, vol. 1(4), pages 285-308, December.
    18. 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.
    19. Celo, Sokol & Lehrer, Mark, 2022. "How much lateral collaboration is optimal? Insights from computer simulations of MNEs as complex adaptive systems," Journal of World Business, Elsevier, vol. 57(3).
    20. Chang, Myong-Hun & Harrington, Joseph Jr., 2006. "Agent-Based Models of Organizations," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 26, pages 1273-1337, Elsevier.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jas:jasssj:2008-56-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Francesco Renzini (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.