Bibliography

This bibliography includes all formal computational models in Roman studies.

Notice one is missing? You can add it yourself to theĀ open access Zotero bibliography “Roman-simulations” which will automatically feature the newly added publication on this page.

Bibliography Roman Simulations

Brughmans, T. (2020). Evaluating the potential of computational modelling for informing debates on Roman economic integration. In K. Verboven (Ed.), Complexity Economics. Building a New Approach to Ancient Economic History. Palgrave Studies in Ancient Economies (pp. 105–123). Palgrave Macmillan.
Brughmans, T., & Pecci, A. (2020). An inconvenient truth. Evaluating the impact of amphora reuse through computational simulation modelling. In C. Duckworth & A. Wilson (Eds.), Recycling and reuse in the Roman economy. Oxford studies on the Roman economy (pp. 191–234). Oxford University Press.
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.
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
Carrignon, S., Brughmans, T., & Romanowska, I. (2020). Tableware trade in the Roman East: Exploring cultural and economic transmission with agent-based modelling and approximate Bayesian computation. PLOS ONE, 15(11), e0240414. https://doi.org/10.1371/journal.pone.0240414
Conrad Djurdjevac, N., Daniel, C., Ana, F., Martin, H., Wolfram, P., Brigitta, S., Christof, S., Marcus, S., Niklas, W., & 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. 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. 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. (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
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
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). nstitute of Archeology of the Czech Academy of Sciences; Masaryk University. https://doi.org/10.5817/CZ.MUNI.M210
Romanowska, I., Brughmans, T., Bes, P., Carrignon, S., Egelund, L., Lichtenberger, A., & Raja, R. (2021). A Study of the Centuries-Long Reliance on Local Ceramics in Jerash Through Full Quantification and Simulation. Journal of Archaeological Method and Theory. https://doi.org/10.1007/s10816-021-09510-0
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
Saller, R. P. (1994). Patriarchy, property, and death in the Roman family. Cambridge University Press.
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., & 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
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