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Reconstruction of Prehistoric Settlement Network Using Agent-Based Model in NetLogo

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 524))

Abstract

We provide an overview of agent-based and network-based computational models in archaeology. Then we suggest a sample model of gradual spatial dispersion of late Iron Age settlement network regarding the probable existence of central sites and settlement hierarchies. The model is based on archaeological research hypotheses and fragmented archaeological evidence of sites in Central Europe. The aim of the model is to enable experimenting with relevant combinations of parameters and triggers and to provide the dynamic picture of the emergence of the prehistoric settlement network.

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References

  • Altaweel, M.: Addressing the structures and dynamics of modeled human ecologies. In: Jeffrey, T.C., Emily, M.H. (eds.) Digital Discovery Exploring New Frontiers in Human Heritage, pp. 30–41. Computer Applications and Quantitative Methods in Archaeology, Budapest (2007)

    Google Scholar 

  • Altaweel, M.: Investigating agricultural sustainability and strategies in northern Mesopotamia: results produced using a socio-ecological modeling approach. J. Archaeol. Sci. 35, 821–835 (2008)

    Article  Google Scholar 

  • Angourakis, A., Rondelli, B., Stride, S., et al.: Land use patterns in central Asia. Step 1: the musical chairs model. J. Archaeol. Method Theory 21, 405–425 (2014)

    Article  Google Scholar 

  • Axtell, R.L., et al.: Population growth and collapse in a multi-agent model of the kayenta anasazi in long house valley. Proc. Nat. Acad. Sci. 99(3), 7275–7279 (2002)

    Article  MathSciNet  Google Scholar 

  • Bandy, M.S.: Fissioning, scalar stress, and social evolution in early village societies. Am. Anthropol. 106(2), 322–333 (2004)

    Article  Google Scholar 

  • Barton, C.M., Ullah, I.I., Mitasova, H.: Computational modeling and Neolithic socioecological dynamics: a case study from Southwest Asia. Am. Antiq. 75, 364–386 (2010)

    Article  Google Scholar 

  • Barton, C.M.: Complexity, social complexity, and modeling. J. Archaeol. Method Theory 21(2), 306–324 (2014)

    Article  MathSciNet  Google Scholar 

  • Bentley, R.A., Lake, M.W., Shennan, S.J.: Specialization and wealth inequality in a model of a clustered economic network. J. Archaeol. Sci. 32, 1346–1356 (2005)

    Article  Google Scholar 

  • Conolly, J., Colledge, S., Shennan, S.: Founder effect, drift, and adaptive change in domestic crop use in early Neolithic Europe. J. Archaeol. Sci. 35, 2797–2804 (2008)

    Article  Google Scholar 

  • Crema, E.R.: A simulation model of fission-fusion dynamics and long-term settlement change. J. Archaeol. Method Theory 21, 385–404 (2014)

    Article  Google Scholar 

  • Danielisová, A., Olševičová, K., Cimler, R., Machálek, T.: Understanding the iron age economy: sustainability of agricultural practices under stable population growth. In: Wurzer, G., Kowarik, K., Reschreiter, H. (eds.) Agent-based Modeling and Simulation in Archaeology. Advances in Geographic Information Science, pp. 205–241. Springer, Wien (2013)

    Google Scholar 

  • Del Castillo, F., Barceló, J.A.: Why hunter and gatherers did not die more often? Simulating prehistoric decision making. In: Earl, G., Sly, T., Chrysanthi, A., Murrieta-Flores, P., Papadopoulos, C., Romanowska, I., Wheatley, D. (eds.) Archaeology in the Digital Era, pp. 154–163. Computer Applications and Quantitative Methods in Archaeology, Southampton (2013)

    Google Scholar 

  • Grant, E. (ed.): Central Places Archaeology and History. University of Sheffield, Sheffield (1986)

    Google Scholar 

  • Janssen, M.A.: Understanding Artificial Anasazi. J. Artif. Soc. Soc. Simul. 12(4), 13 (2009)

    Google Scholar 

  • Knappett, C. (ed.): Network Analysis in Archaeology: New Approaches to Regional Interaction. Oxford University Press, Oxford (2013)

    Google Scholar 

  • Kohler, T.A., Varien, M.D. (eds.): Emergence and Collapse of Early Villages Models of Central Mesa Verde Archaeology. University of California Press, Los Angeles (2012)

    Google Scholar 

  • Lake, M.W.: Trends in archaeological simulation. J. Archaeol. Method Theory 21, 258–287 (2014)

    Article  Google Scholar 

  • Lake, M.: Computer Simulation of mesolithic foraging? In: Gumerman, G.J., Kohler, T.A. (eds.) Dynamics in Human and Primate Societies: Agent-Based Modeling of Social and Spatial Processes, pp. 107–143. Oxford University Press, New York (2000)

    Google Scholar 

  • Lake, M.W.: The uncertain future of simulating the past. In: Costopoulos, A., Lake, M.W. (eds.) Simulating the Change Archaeology into the Twenty-First Century, pp. 12–20. University of Utah Press, Salt Lake City (2010)

    Google Scholar 

  • Lake, M.W., Crema, E.R.: The cultural evolution of adaptive-trait diversity when resources are uncertain and finite. Adv. Complex Syst. 19, 1150013 (2012)

    Article  Google Scholar 

  • Madella, M., Rondelli, B., Lancelotti, C., et al.: Introduction to simulating the past. Archaeol. Method Theory 21, 251–257 (2014)

    Article  Google Scholar 

  • Machálek, T., Cimler, R., Olševičová, K., Danielisová, A.: Fuzzy methods in land use modeling for archaeology. Math. Methods Econ. 2, 536–542 (2013)

    Google Scholar 

  • Meijers, E.: From central place to network model: Theory and evidence of a paradigm change. Tijdschrift voor Economische en Soc. Geogr. 98, 245–259 (2007)

    Article  Google Scholar 

  • Militký, J.: Nejstarší středoevropské mince – vzestup a pád keltské civilizace ve střední Evropě z pohledu numismatiky. Kolaps a regenerace: cesty civilizací a kultur. Minulost, současnost a budoucnost komplexních společností, Praha, pp. 139–172 (2011)

    Google Scholar 

  • Nakoinz, O.: Concepts of central place research in archaeology. landscapes and human development: the contribution of european archaeology. In: Proceedings of the International Workshop “Socio-Environmental Dynamics over the Last 12 000 Years: The Creation of Landscapes” Kiel, pp. 251–264 (2010)

    Google Scholar 

  • Nakoinz, O.: Models of centrality. J. Ancient Stud. Spec. 3, 217–223 (2012)

    Google Scholar 

  • Olševičová, K., Cimler, R., Machálek, T.: Agent-based model of celtic population growth: NetLogo and python. In: Nguyen NT, A., Trawiński B, B., katarzyniak, R., Jo, G.-S. (eds.) Advanced Methods for Computational Collective Intelligence, Studies in Computational Intelligence, pp. 135–143. Springer, Berlin (2012)

    Google Scholar 

  • Östeborn, P., Gerding, H.: Network analysis of archaeological data: a systematic approach. J. Archaeol. Sci. 46, 75–88 (2014)

    Article  Google Scholar 

  • Powel, A.S., Shennan, S.J., Thomas, M.G.: Late pleistocene demography and the appearance of modern human behavior. Science 324, 1298–1301 (2009)

    Article  Google Scholar 

  • Premo, L.: Exploring behavioral terra incognita with archaeological agent-based models. Beyond Illustration: 2D and 3D Technologies as Tools of Discovery in Archaeology. BAR International Series 1805, 46–56 (2008)

    Google Scholar 

  • Premo, L.: Equifinality and explanation: the role of agent-based modeling in postpositivist archaeology. In: Costopoulos, A., Lake, M.W. (eds.) Simulating the Change Archaeology into the Twenty-First Century, pp. 28–37. University of Utah Press, Salt Lake City (2010)

    Google Scholar 

  • Salgado, M., Noguera, J.A., Miguel, F.: Modelling cooperation mechanisms: some conceptual issues. J. Archaeol. Method Theory 21, 325–342 (2014)

    Article  Google Scholar 

  • Shennan, S.: The spread of farming into central europe ind its consequences: evolutionary models. In: Kohler, T.A., van der Leeuw, S.E. (eds.) The Model-Based Archaeology of Socionatural Systems, pp. 141–156. Santa Fe, New Mexico (2007)

    Google Scholar 

  • Thér, R., Mangel, R.: Inovace a specializace v hrnčířském řemesle v době laténské: model vývoje forem organizace výroby. Archeologické Rozhledy LXVI, pp. 3–39 (2014)

    Google Scholar 

  • van der Vaart, E., de Boer, B., Hankel, A., Verheij, B.: Agents Adopting Agriculture:Modeling the Agricultural Transition. In: Nolfi, Stefano, Baldassarre, Gianluca, Calabretta, Raffaele, Hallam, John C.T., Marocco, Davide, Meyer, Jean-Arcady, Miglino, Orazio, Parisi, Domenico (eds.) SAB 2006. LNCS (LNAI), vol. 4095, pp. 750–761. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  • Wainwright, J.: Can modelling enable us to understand the rôle of humans in landscape evolution? Geoforum 39, 659–674 (2008)

    Article  Google Scholar 

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Acknowledgement

This work was supported by the Czech Science Foundation under Grant P405/12/0926 “Social modelling as a tool for understanding Celtic society and cultural changes at the end of the Iron Age" and UHK FIM specific research project 7/2015.

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Correspondence to Kamila Olševičová .

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Olševičová, K., Procházka, J., Danielisová, A. (2015). Reconstruction of Prehistoric Settlement Network Using Agent-Based Model in NetLogo. In: Bajo, J., et al. Highlights of Practical Applications of Agents, Multi-Agent Systems, and Sustainability - The PAAMS Collection. PAAMS 2015. Communications in Computer and Information Science, vol 524. Springer, Cham. https://doi.org/10.1007/978-3-319-19033-4_14

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  • DOI: https://doi.org/10.1007/978-3-319-19033-4_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19032-7

  • Online ISBN: 978-3-319-19033-4

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