IDEAS home Printed from https://ideas.repec.org/a/spr/comaot/v9y2003i3d10.1023_bcmot.0000026584.19223.ef.html
   My bibliography  Save this article

Sociocultural Evolution and Cognitive Ontogenesis: A Sociocultural-Cognitive Algorithm

Author

Listed:
  • Jürgen Klüver

    (University of Duisburg-Essen)

  • Rouven Malecki

    (University of Duisburg-Essen)

  • Jörn Schmidt

    (University of Duisburg-Essen)

  • Christina Stoica

    (University of Duisburg-Essen)

Abstract

Sociocultural evolution is defined as the permanent interplay between the evolution of social order, cultural achievements and cognitive ontogenetic development. The key concept is that of social roles that are defined as a set of social rules and role specific knowledge. Sociocultural evolution accordingly is defined as the enlargement and variation of roles and in their social and cognitive dimension and as the variation of the relations between roles. The main theoretical thesis is the hypothesis of heterogeneity: sociocultural evolution is possible only if the degree of role autonomy in a particular society is large enough. A computational model, the sociocultural-cognitive algorithm is described that captures the main features of the evolution of societies. In particular it can be shown via the model why the hypothesis of heterogeneity is so important: it explains the special way of Western culture that was able totranscendcultural thresholds that limited the evolution of comparable societies.

Suggested Citation

  • Jürgen Klüver & Rouven Malecki & Jörn Schmidt & Christina Stoica, 2003. "Sociocultural Evolution and Cognitive Ontogenesis: A Sociocultural-Cognitive Algorithm," Computational and Mathematical Organization Theory, Springer, vol. 9(3), pages 255-273, October.
    • Handle: RePEc:spr:comaot:v:9:y:2003:i:3:d:10.1023_b:cmot.0000026584.19223.ef
    DOI: 10.1023/B:CMOT.0000026584.19223.ef
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1023/B:CMOT.0000026584.19223.ef
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1023/B:CMOT.0000026584.19223.ef?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jürgen Klüver & Christina Klüver & Jörn Schmidt, 2003. "Formal Models, Social Theory and Computer Simulations: Some Methodical Reflections," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 6(2), pages 1-8.
    2. J. Stephen Lansing & James N. Kremer & Barbara B. Smuts, 1998. "System-Dependent Selection, Ecological Feedback, and the Emergence of Functional Structure in Ecosystems," Working Papers 98-01-014, Santa Fe Institute.
    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. Ron Sun & Isaac Naveh, 2007. "Social institution, cognition, and survival: a cognitive–social simulation," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 6(2), pages 115-142, November.

    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. Sidney G. Winter, 2002. "Toward an Evolutionary Theory of Production," LEM Papers Series 2002/27, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    2. Ousanee Sawagvudcharee & Maurice Yolles & Gerhard Fink & Paul Iles & Chanchai Bunchapattanasakda & Buncha Limpabandhu, 2018. "Understanding Corporate Life-Cycles," Journal of Education and Vocational Research, AMH International, vol. 8(4), pages 15-27.
    3. Nuno David & Jaime Simão Sichman & Helder Coelho, 2005. "The Logic of the Method of Agent-Based Simulation in the Social Sciences: Empirical and Intentional Adequacy of Computer Programs," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 8(4), pages 1-2.
    4. Alessandro Lomi & Erik R. Larsen & John H. Freeman, 2005. "Things Change: Dynamic Resource Constraints and System-Dependent Selection in the Evolution of Organizational Populations," Management Science, INFORMS, vol. 51(6), pages 882-903, June.

    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:spr:comaot:v:9:y:2003:i:3:d:10.1023_b:cmot.0000026584.19223.ef. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.