Abstract
The agent-based model of Celtic population growth was developed using specific domain knowledge and general demographic assumptions about birth-rates and mortality. The model allows archaeologists to simulate the time series of available workforce and actual consumption of the population living in the given settlement agglomeration. Parameters of the NetLogo model were refined experimentally. The implementation in Python was created for validation and reporting. The simulated population is stable, with appropriate age distribution and growth rate. The model is used for further simulations of the settlement population dynamics and for testing hypotheses about the agricultural practices, trade and exchange etc. The final objective of our research project is to better understand the collapse of the Celtic society in Europe in the Late Iron Age.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Altaweel, M.: Investigating agricultural sustainability and strategies in northern Mesopotamia: results produced using socio-ecological modeling approach. Journal of Archaeological Science 35, 821–835 (2008)
Axtell, R.L., et al.: Population Growth and Collapse in a Multi-Agent Model of the Kayenta Anasazi in Long House Valley. Proceedings of the National Academy of Sciences 99, 7275–7279 (2002)
Baili, P., Micheli, A., Montanari, A., Capocaccia, R.: Comparison of Four Methods for Estimating Complete Life Tables from Abridged Life Tables Using Mortality Data Supplied to EUROCARE-3. Mathematical Population Studies 12, 183–198 (2005)
Danielisová, A.: The oppidum of České Lhotice and its hinterland. Ph.D. dissertation (2008) (unpublished)
Grimm, V., et al.: The ODD protocol: A review and first update. Ecological Modelling 221, 2760–2768 (2010)
Janssen, M.: Understanding Artificial Anasazi. Journal of Artificial Societies and Social Simulation 12(4), 13 (2009)
Saller, R.: Patriarchy, Property and Death in the Roman Family, Cambridge (1994)
Wilensky, U.: NetLogo. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL (1999), http://ccl.northwestern.edu/netlogo/
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Olševičová, K., Cimler, R., Machálek, T. (2013). Agent-Based Model of Celtic Population Growth: NetLogo and Python. In: Nguyen, N., Trawiński, B., Katarzyniak, R., Jo, GS. (eds) Advanced Methods for Computational Collective Intelligence. Studies in Computational Intelligence, vol 457. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34300-1_13
Download citation
DOI: https://doi.org/10.1007/978-3-642-34300-1_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34299-8
Online ISBN: 978-3-642-34300-1
eBook Packages: EngineeringEngineering (R0)