Advertisement

Agent-Based Modelling and Archaeological Complexity

  • David J. PozaEmail author
  • Ricardo del Olmo
Conference paper
Part of the Lecture Notes in Management and Industrial Engineering book series (LNMIE)

Abstract

This paper presents a brief overview of social simulation in the field of Archaeology. It has been conducted from an agent-based modelling focus, a very interesting and valid methodology for modelling prehistoric societies. The second part of this work presents an application of this methodology in a specific model that analyses the emergence of ethnicity in a prehistoric society.

Keywords

Archaeology Agent-based modelling Social simulation Ethnicity 

Notes

Acknowledgement

The authors acknowledge support from the Spanish Ministry of Science and Innovation Project CSD2010-00034 (SimulPast CONSOLIDER-INGENIO 2010) and by the Regional Government of Castile and Leon (Spain) Project VA056A12-2.

References

  1. 1.
    Axelrod R (1997) The dissemination of culture. J Confl Resolut 41(2) 203–226CrossRefGoogle Scholar
  2. 2.
    Axtell RL (2000) Why agents? On the varied motivations for agent computing in the social sciences. In: Macal CM, Sallach D (eds) Proceedings of the workshop on agent simulation: applications, models, and tools. Argonne National Laboratory, Argonne, pp 3–24Google Scholar
  3. 3.
    Barceló JA (2010a) Sociedades artificiales para el análisis de procesos sociales en la prehistoria. CPAG 20:123–148Google Scholar
  4. 4.
    Barceló JA, Cuesta F, Del Castillo F (2010b) Simulating social, economic and political decisions in a hunter-gatherer group. The case of prehistoric Patagonia. Computer Applications in Archaeology Conference. http://www.leidenuniv.nl/caa/caa_proceedings.htm. Leiden. Accessed Feb 2013
  5. 5.
    Barceló JA, Cuesta F, Del Castillo F et al (2010c) Simulating prehistoric ethnicity. The case of Patagonian hunter-gatherers. In: Contreras F, Melero M (eds) Fussion of cultures. Computer applications and quantitative methods in archaeology.Google Scholar
  6. 6.
    Bonabeau E (2002) Agent-based modeling: methods and techniques for simulating human systems. Proc Natl Acad Sci USA 99(2):7280–7287CrossRefGoogle Scholar
  7. 7.
    Bousquet F, Le Page C (2004) Multi-agent simulations and ecosystem management: a review. Ecol Modell 176(3–4):313–332CrossRefGoogle Scholar
  8. 8.
    Christiansen J, Altaweel M (2006) Simulation of natural and social process interactions: an example from Bronze Age Mesopotamia. Soc Sci Comput Rev 24(2):209–226CrossRefGoogle Scholar
  9. 9.
    Cohen AP (2000) Signifying identities: anthropological perspectives on boundaries and contested values. Routledge, LondonGoogle Scholar
  10. 10.
    De La Cruz DE, Noriega P et al (2010) Normas en sociedades cazadoras-pesacadoras-recolectoras. Argumentos para el uso de la simulación social basada en agentes. CPAG 20:149–161Google Scholar
  11. 11.
    Dean JS, Gumerman GS, Epstein JE et al (2000) Understanding Anasazi culture change through agent-based modelling. In: Kohler TA, Gumerman G (eds) Dynamics in human and primate societies. Oxford University Pres, New York, pp 179–205Google Scholar
  12. 12.
    Del Castillo F, Barceló JA (2012) Why hunter and gatherers did not die more often? Simulating prehistoric decision making. Proceedings of the Computer Applications and Quantitative Methods in Archaeology Congress. Amsterdam University PressGoogle Scholar
  13. 13.
    Doran JE (1999) Prospects for agent-based modelling in archaeology. Archeologia e Calcolatori 10:33–44.Google Scholar
  14. 14.
    Doran JE, Palmer M (1995a) The EOS project: integrating two models of palaeolithic social change. In Gilbert N, Conte R (eds) Artificial societies: the computer simulation of social life. UCL Press, London, pp 103–125Google Scholar
  15. 15.
    Doran JE, Palmer M (1995b) The EOS project: modelling prehistoric sociocultural trajectories. Proceedings of First International Symposium on Computing and Archaeology, pp 183–198Google Scholar
  16. 16.
    Epstein JM (1999) Agent-based computational models and generative social science. Complexity 4(5):41–60CrossRefMathSciNetGoogle Scholar
  17. 17.
    Epstein JM, Axtell R (1996) Growing artificial societies: social sciences from the ground up. Brooking Institution Press, WashingtonGoogle Scholar
  18. 18.
    Gilbert N (2007) Agent based model. Sage, LondonGoogle Scholar
  19. 19.
    Gumerman G, Swedlund AC, Dean JS, Epstein JS (2003) The evolution of social behaviour in the prehistoric American Southwest. Artif Life 9(4):435–444CrossRefGoogle Scholar
  20. 20.
    Holland JH (1998) Emergence. From chaos to order. Addison-Wesley, ReadingzbMATHGoogle Scholar
  21. 21.
    Johnson CD, Kohler TA, Cowan JA (2005) Modeling historical ecology, thinking about contemporaly systems. Am Anthropol 107:96–108CrossRefGoogle Scholar
  22. 22.
    Kohler TA, Gumerman G, Reynolds RG (2005) Simulating ancient societies. Sci Am 293:77–84CrossRefGoogle Scholar
  23. 23.
    Kohler TA, Kresl J, Van West CR, Carr E, Wilshusen R (2000) Be there then: a modelling approach to settlement determinants and spatial efficiency among late ancestral pueblo populations of the Mesa Verde region, U.S. southwest. In: Kohler TA, Gumerman GJ (eds) Dynamics in human and primate societies. Oxford University Press, New York, pp 145–178Google Scholar
  24. 24.
    Lake MW (2000) MAGICAL computer simulation of mesolithic foraging. In: Kohler TA, Gumerman GJ (eds) Dynamics in human and primate societies. Oxford University Press, New York, pp 107–143Google Scholar
  25. 25.
    Wilkinson TJ, Christiansen J, Ur J et al (2007) Urbanization within a dynamic environment: modelling bronze age communities in upper Mesopotamia. Am Anthropol 109(1):52–68CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.INSISOC. E.I. IndustrialesUniversidad de ValladolidValladolidSpain
  2. 2.Department of Civil Engineering, Higher Polytechnic SchoolUniversity of BurgosBurgosSpain

Personalised recommendations