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      Modeling Demic and Cultural Diffusion: An Introduction.

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          Abstract

          Identifying the processes by which human cultures spread across different populations is one of the most topical objectives shared among different fields of study. Seminal works have analyzed a variety of data and attempted to determine whether empirically observed patterns are the result of demic and/or cultural diffusion. This special issue collects articles exploring several themes (from modes of cultural transmission to drivers of dispersal mechanisms) and contexts (from the Neolithic in Europe to the spread of computer programming languages), which offer new insights that will augment the theoretical and empirical basis for the study of demic and cultural diffusion. In this introduction we outline the state of art in the modeling of these processes, briefly discuss the pros and cons of two of the most commonly used frameworks (equation-based models and agent-based models), and summarize the significance of each article in this special issue.

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          Author and article information

          Journal
          Hum. Biol.
          Human biology
          1534-6617
          0018-7143
          Jul 2015
          : 87
          : 3
          Affiliations
          [1 ] 1 Complex Systems Laboratory, Universitat de Girona, Department of Physics, Girona, Catalonia, Spain.
          [2 ] 2 Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Catalonia, Spain.
          [3 ] 3 CaSEs - Complexity and Socio-Ecological Dynamics Research Group, Universitat Pompeu Fabra, Department of Humanities, Barcelona, Spain.
          [4 ] 4 University College London Institute of Archaeology, London, United Kingdom.
          [5 ] 5 Milà i Fontanals Institute, Spanish National Research Council (IMF-CSIC), Barcelona, Catalonia, Spain.
          Article
          10.13110/humanbiology.87.3.0141
          26932566
          245b8066-2f83-4a32-a792-7f3db3297f2e
          History

          demic diffusion,cultural diffusion,agent-based simulation,reaction-dispersal models,cultural transmission,cultural evolution

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