Bibliography

This bibliography includes all formal computational models in Roman studies.

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Bibliography Roman Simulations

Brughmans, T., & Poblome, J. (2017). The case for computational modelling of the Roman economy: a reply to Van Oyen. Antiquity, 91(359), 1364–1366. https://doi.org/10.15184/aqy.2017.166
Brughmans, T., & Poblome, J. (2016). Roman bazaar or market economy? Explaining tableware distributions through computational modelling. Antiquity, 90(350), 393–408. https://doi.org/10.15184/aqy.2016.35
Brughmans, T., & Poblome, J. (2016). MERCURY: an agent-based model of tableware trade in the Roman East. Journal of Artificial Societies and Social Simulation, 19(1), http://jasss.soc.surrey.ac.uk/19/1/3.html.
Conrad Djurdjevac, N., Daniel, C., Ana, F., Martin, H., Wolfram, P., Brigitta, S., … Johannes, W. (2018). Mathematical Modeling of the Spreading of Innovations in the Ancient World. ETopoi. Jouranl for Ancient Studies, 7, 1–32. https://doi.org/10.17171/4-7-1
Conrad Djurdjevac, N., Helfmann, L., Zonker, J., Winkelmann, S., & Schütte, C. (2018). Human mobility and innovation spreading in ancient times: a stochastic agent-based simulation approach. EPJ Data Science, 7(24). https://doi.org/10.1140/epjds/s13688-018-0153-9
Conrad Djurdjevac, N., Helfmann, L., Zonker, J., Winkelmann, S., & Schütte, C. (2017). Human mobility and innovation spreading in ancient times: A stochastic agent-based simulation approach. European Physics Journal.
Coto-sarmiento, M., Rubio-campillo, X., & Remesal, J. (2018). Identifying social learning between Roman amphorae workshops through morphometric similarity. Journal of Archaeological Science, 96(April), 117–123. https://doi.org/10.1016/j.jas.2018.06.002
Crabtree, S. (2016). Simulating Littoral Trade: Modeling the Trade of Wine in the Bronze to Iron Age Transition in Southern France. Land, 5(1), 5. https://doi.org/10.3390/land5010005
Fousek, J., Výtvarová, E., Mertel, A., Chalupa, A., & Hladká, E. (2016). Agent-Based Modelling And Simulation For The Geospatial Network Model Of The Roman World. In International Symposium on Grids and Clouds (ISGC) 2016.
Fousek, J., Kaše, V., Mertel, A., Výtvarová, E., & Chalupa, A. (2018). Spatial constraints on the diffusion of religious innovations: The case of early Christianity in the Roman Empire. PLOS ONE, 13(12), e0208744. Retrieved from https://doi.org/10.1371/journal.pone.0208744
Graham, S. (2006). Networks, Agent-Based Models and the Antonine Itineraries: Implications for Roman Archaeology. Journal of Mediterranean Archaeology, 19(1), 45–64. https://doi.org/10.1558/jmea.2006.19.1.45
Graham, S., & Weingart, S. (2015). The Equifinality of Archaeological Networks: An Agent Based Exploratory Lab Approach. Journal of Archaeological Method and Theory, 22, 248–274. https://doi.org/10.1007/s10816-014-9230-y
Groenhuijzen, M. R., & Verhagen, P. (2016). Testing the Robustness of Local Network Metrics in Research on Archeological Local Transport Networks. Frontiers in Digital Humanities, 3(6), 1–14. https://doi.org/10.3389/fdigh.2016.00006
Groenhuijzen, M. R., & Verhagen, P. (2017). Comparing network construction techniques in the context of local transport networks in the Dutch part of the Roman limes. Journal of Archaeological Science: Reports, 15, 235–251. https://doi.org/10.1016/j.jasrep.2017.07.024
Joyce, J., & Verhagen, P. (2016). Simulating the Farm: Computational Modelling of Cattle and Sheep Herd Dynamics for the Analysis of Past Animal Husbandry Practices. LAC 2014 Proceedings, 0(0), 17. https://doi.org/10.5463/lac.2014.59
Komoróczy, B., & Vlach, M. (2015). Simulating archeological models: Perspectives in protohistory. In S. Sázelová, M. Novák, & A. Mizerová (Eds.), Forgotten times and spaces: New perspectives in paleoanthropological, paleoetnological and archeological studies. 1st Edition. (pp. 494–506). Brno: nstitute of Archeology of the Czech Academy of Sciences; Masaryk University. https://doi.org/10.5817/CZ.MUNI.M210
Rubio-Campillo, X., Matías, P. V., & Ble, E. (2015). Centurions in the Roman Legion: Computer Simulation and Complex Systems. Journal of Interdisciplinary History, 46(2), 245–263. https://doi.org/10.1162/JINH_a_00833
Snyder, J. R., Dilaver, O., Stephenson, L. C., Mackie, J. E., & Smith, S. D. (2018). Agent-based modelling and construction – reconstructing antiquity’s largest infrastructure project. Construction Management and Economics, 36(6), 313–327. https://doi.org/10.1080/01446193.2017.1403639
Van Oyen, A. (2017). Agents and commodities: a response to Brughmans and Poblome (2016) on modelling the Roman economy. Antiquity, 91(359), 1356–1363. https://doi.org/10.15184/aqy.2017.138
Verhagen, P., Joyce, J., & Groenhuizen, M. (2016). Modelling the Dynamics of Demography in the Dutch Roman Limes Zone. LAC 2014 Proceedings, 0(0), 13. https://doi.org/10.5463/lac.2014.62
Verhagen, P., Joyce, J., & Groenhuijzen, M. R. (2019). Finding the Limits of the Limes: modelling demography, economy and transport on the edge of the Roman Empire. Springer. https://doi.org/10.1007/978-3-030-04576-0_1