Simulating Prehistoric and Ancient Worlds / Computational Social Sciences (PDF)
(Sprache: Englisch)
This book presents a unique selection of fully reviewed, extended papers originally presented at the Social Simulation Simulation Conference 2014 in Barcelona, Spain. Only papers on the simulation of historical processes have been selected, the aim being to...
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This book presents a unique selection of fully reviewed, extended papers originally presented at the Social Simulation Simulation Conference 2014 in Barcelona, Spain. Only papers on the simulation of historical processes have been selected, the aim being to present theories and methods of computer simulation that can be relevant to understanding the past. Applications range from the Paleolithic and the origins of social life up to the Roman Empire and Early Modern societies. Case studies from Europe, America, Africa and Asia have been selected for publication. The extensive introduction offers a thorough review of the computer simulation of social dynamics in past societies as a means of understanding human history. This book will be of great interest to researchers in the social sciences, archaeology, evolutionary anthropology, and social history.
Bibliographische Angaben
- 2016, 1st ed. 2016, 404 Seiten, Englisch
- Herausgegeben: Juan A. Barceló, Florencia Del Castillo
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319314815
- ISBN-13: 9783319314815
- Erscheinungsdatum: 20.10.2016
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Pressezitat
“It offers a synthesis of agent-based modeling to date, provides multiple well-developed case studies, and contributes to the literature on formal models in archaeology by demonstrating the utility of simulation. … From Barceló and del Castillo’s encyclopedic introduction, to each of the well-developed case studies, this volume adds to a growing field and will be useful for archaeologists and computer scientists interested in prehistory.” (Stefani Crabtree, JASSS The Journal of Artificial Societies and Social Simulation, Vol. 20 (2), March, 2017)Kommentar zu "Simulating Prehistoric and Ancient Worlds / Computational Social Sciences"
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