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Cultural Change in Spatial Environments

Author

Listed:
  • Domenico Parisi
  • Federico Cecconi
  • Francesco Natale

    (National Research Council, Rome)

Abstract

A cellular automata model is used to study aspects of cultural change in spatial environments. Cultures are represented as bit strings in individual cells. Cultures may change because they become more similar to prevailing nearby cultures, are subject to intrinsic random changes, or expand to previously empty cells. Extending Axelrod's (1997) results, the authors show that assimilation does not lead to a single homogeneous culture even if, unlike in Axelrod's model, cultural assimilation may take place even between neighboring cells with zero similarity; intrinsic changes decrease rather than increase the number of stable cultural regions; and expansion of a single culture in a previously unoccupied territory does not result in a single culture in the entire territory. Geographical features (such as mountains) that are an obstacle to contact between cells increase the number of different cultural regions.

Suggested Citation

  • Domenico Parisi & Federico Cecconi & Francesco Natale, 2003. "Cultural Change in Spatial Environments," Journal of Conflict Resolution, Peace Science Society (International), vol. 47(2), pages 163-179, April.
    • Handle: RePEc:sae:jocore:v:47:y:2003:i:2:p:163-179
    DOI: 10.1177/0022002702251025
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    References listed on IDEAS

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    1. James G. March, 1991. "Exploration and Exploitation in Organizational Learning," Organization Science, INFORMS, vol. 2(1), pages 71-87, February.
    2. Joshua M. Epstein & Robert L. Axtell, 1996. "Growing Artificial Societies: Social Science from the Bottom Up," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262550253, April.
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