Abstract
Introduction. The use of an agent-based simulation of a problem of the ancient Celtic oppidum siege is presented. Computer models enable creating simulations of different strategic situations and testing various scenarios, which is very useful for studying complex systems.
Aim. The aim of the model is to study the military tactics of the Celtic population. The simulations are focused on different defense tactics of the Celtic oppidum. The succession rate of attack and the number of casualties is studied with various scenarios with varying ratios of the defenders and attackers, areas of attack, and combination of weapons.
Methods. The environment of this agent-based model of Celtic oppidum siege is based on archaeological findings from the long gone oppidum, Stare Hradisko, located in the Czech Republic. The agents operating in this model represent either residents of the oppidum who are defending their homes, or the attackers.
Results. The tool created enables studying different scenarios of attack on a Celtic oppidum. Simulations can be used for testing attacks on different locations if the GIS data of the terrain and fortification are provided.
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References
Anglim, S., Jestice, P., Rice, R., Rusch, S., Serrati, J.: Fighting Techniques of the Ancient World. Thomas Dunne Books, New York City (2007). ISBN 0312309325
Bouzek, J.: Keltove ceskych zemi v evropskem kontextu, 2nd edn. Triton, Praha (2009)
Campillo, X.R., Cela, J.M., Cardona, F.X.H.: Simulating archaeologists? using agent-based modelling to improve battlefield excavations. J. Archaeol. Sci. 39(2), 347–356 (2012)
Cimler, R., Doležal, O., Kühnová, J., Pavlík, J.: Herding algorithm in a large scale multi-agent simulation. In: Jezic, G., Chen-Burger, Y.-H.J., Howlett, R.J., Jain, L.C. (eds.) Agent and Multi-Agent Systems: Technology and Applications. SIST, vol. 58, pp. 83–94. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-39883-9_7
Cimler, R., Husáková, M., Koláčková, M.: Exploration of autoimmune diseases using multi-agent systems. In: Nguyen, N.-T., Iliadis, L., Manolopoulos, Y., Trawiński, B. (eds.) ICCCI 2016. LNCS (LNAI), vol. 9876, pp. 282–291. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-45246-3_27
Čižmář, M.: Keltské oppidum Staré Hradisko. Archeologické centrum (2005)
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. AGIS, pp. 183–216. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-00008-4_9
Denti, A.M.E., Omicini, A.: Basi: multi-agent based simulation for medieval battles. http://ceur-ws.org/Vol-741/ID11_MolesiniDentiOmicini.pdf (2011)
Gabriel, R.A.: Ancient World (Soldiers’ lives through history). Greenwood Publishing Group, Westport (2007). ISBN 0313333483
Gabriel, R.A., Metz, K.S.: From Sumer to Rome: The Military Capabilities of Ancient Armies. Praeger, Westport (1991). ISBN 0313276455
John, J.: Možnosti a limity počítačové rekonstrukce minulých cest na příkladu čertovy louky v krkonoších. Acta FF 4 (2010)
Macal, C.: Everything you need to know about agent-based modelling and simulation. https://doi.org/10.1057/jos.2016.7 (2016)
Machálek, T., Cimler, R., Olševičová, K., Danielisová, A.: Fuzzy methods in land use modeling for archaeology. In: Proceedings of Mathematical Methods in Economics (2013)
Machálek, T., Olševičová, K., Cimler, R.: Modelling population dynamics for archaeological simulations. In: Mathematical Methods in Economy, pp. 536–539 (2012). http://mme2012.opf.slu.cz/proceedings/proceedings.php
Olševičová, K., Cimler, R., Machálek, T.: Agent-based model of celtic population growth: NetLogo and Python. In: Nguyen, N., Trawiński, B., Katarzyniak, R., Jo, G.S. (eds.) Advanced Methods for Computational Collective Intelligence. SCI, pp. 135–143. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-34300-1_13
Riggsby, A.M.: Caesar in Gaul and Rome: War in Words. University of Texas Press, Austin (2010)
Rubio-Campillo, X., Cela, J.M., Cardona, F.X.H.: The development of new infantry tactics during the early eighteenth century: a computer simulation approach to modern military history. J. Simul. 7(3), 170–182 (2013)
Tomaskova, H., Kuhnova, J., Cimler, R., Dolezal, O., Kuca, K.: Prediction of population with Alzheimers disease in the European union using a system dynamics model. Neuropsychiatric Dis. Treat. 12, 1589 (2016)
Wilensky, U.: Netlogo user manual version 4.1. 3. Center for Connected Learning and Computer-Based Modelling. Northwestern University, Evanston, IL. http://ccl.northwestern.edu/netlogo/. Accessed July 2014
Wurzer, G., Kowarik, K., Reschreiter, H.: Agent-based Modeling and Simulation in Archaeology. Springer, Cham (2015). ISBN 978-3-319-00007-7
Acknowledgment
The support of the Specific Research Project at FIM UHK is gratefully acknowledged. Thanks for consultation and GIS data to Alzbeta Frank Danielisova.
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Dolezal, O., Kakrda, P., Cimler, R. (2018). Agent-Based Model of Ancient Siege Tactics. In: Nguyen, N., Hoang, D., Hong, TP., Pham, H., Trawiński, B. (eds) Intelligent Information and Database Systems. ACIIDS 2018. Lecture Notes in Computer Science(), vol 10752. Springer, Cham. https://doi.org/10.1007/978-3-319-75420-8_18
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