Simulating Roman Economies

Theories, Methods, and Computational Models
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OUP Oxford

Paru le : 2022-08-04

The use of formal modelling and computational simulation in studies of the Roman economy has become more common over the last decade. But detailed critical evaluations of this innovative approach are still missing and much needed. What kinds of insights about the Roman economy can it lead to that co...
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Éditeur

Collection
n.c

Parution
2022-08-04

Pages
368 pages

EAN papier
9780192672421

Auteur(s) du livre


Tom Brughmans is an associate professor at Aarhus University's Centre for Urban Network Evolutions (UrbNet) and Classical Archaeology. His research interests include the study of Roman economic and urban phenomena, past social networks, and visual signalling systems. He performs much of his work by applying computational methods such as network science, agent-based simulation, and geographical information systems. His research projects MERCURY and SIMREC developed educational resources and case studies to make simulation studies of the Roman economy more common (Leverhulme Early Career Fellowship and Marie-Curie Individual Fellowship). His ongoing project MINERVA aims to develop a highly detailed network model of the Roman road system, and to perform simulation experiments to explore the centuries-long distribution patterns revealed by Roman tableware and amphora data. Andrew Wilson is Professor of the Archaeology of the Roman Empire and Fellow of All Souls College, Oxford. His research focuses on the Roman economy, ancient technology, urbanism, and settlement. He has excavated in Italy, Libya, Tunisia, Syria, Cyprus, and Turkey. He is co-director (with Alan Bowman) of the Oxford Roman Economy Project (OxREP), and (with Chris Howgego) of the OxREP-Ashmolean Coin Hoards of the Roman Empire project; and he is also Principal Investigator of the Endangered Archaeology in the Middle East and North Africa project (EAMENA).

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EAN PDF
9780192672421
Prix
69,85 €
Nombre pages copiables
0
Nombre pages imprimables
0
Taille du fichier
6533 Ko

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