Inbunden, Engelska, 2022
Del i serien Oxford Studies on the Roman Economy
Simulating Roman Economies
Theories, Methods, and Computational Models
Av Tom Brughmans, Andrew Wilson
2449 kr
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Beskrivning
Produktinformation
- Utgivningsdatum: 2022-09-14
- Mått: 160 x 240 x 21 mm
- Vikt: 740 g
- Format: Inbunden
- Språk: Engelska
- Serie: Oxford Studies on the Roman Economy
- Antal sidor: 356
- Förlag: OUP OXFORD
- ISBN: 9780192857828
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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).
Recensioner i media
This is the eighteenth volume in the series "Oxford Studies on the Roman Economy" that Alan Bowman and Andrew Wilson launched in 2009, and arguably the most innovative to date. It sends a strong message that computational modeling has now sufficiently matured to make a substantial contribution to our understanding of Roman economic history, and even more importantly to our understanding of how to study that history.
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