Editors:
- Approaches issues in archaeology thru computational techniques
- Focuses on the ecological impacts of agriculture
- Focuses on the Neolithic transition around the world
Part of the book series: Computational Social Sciences (CSS)
Part of the book sub series: Simulating the Past (SIPA)
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Table of contents (12 chapters)
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Front Matter
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Back Matter
About this book
This book highlights new and innovative approaches to archaeological research using computational modeling while focusing on the Neolithic transition around the world.
The transformative effect of the spread and adoption of agriculture in prehistory cannot be overstated. Consequently, archaeologists have often focused their research on this transition, hoping to understand both the ecological causes and impacts of this shift, as well as the social motivations and constraints involved. Given the complex interplay of socio-ecological factors, the answers to these types of questions cannot be found using traditional archaeological methods alone. Computational modeling techniques have emerged as an effective approach for better understanding prehistoric data sets and the linkages between social and ecological factors at play during periods of subsistence change. Such techniques include agent-based modeling, Bayesian modeling, GIS modeling of the prehistoric environment, and the modeling of small-scale agriculture. As more archaeological data sets aggregate regarding the transition to agriculture, researchers are often left with few ways to relate these sets to one another.Computational modeling techniques such as those described above represent a critical next step in providing archaeological analyses that are important for understanding human prehistory around the world. Given its scope, this book will appeal to the many interdisciplinary scientists and researchers whose work involves archaeology and computational social science.
Chapter “The Spread of Agriculture: Quantitative Laws in Prehistory?” is available open access under a Creative Commons Attribution 4.0 International License via springer.com.
Editors and Affiliations
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Departamento de Geografía e Historia, Universidad de la Laguna San Cristóbal de la Laguna, Santa Cruz, Spain
Salvador Pardo-Gordó
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School of Complex Adaptive Systems, Arizona State University, Tempe, USA
Sean Bergin
Bibliographic Information
Book Title: Simulating Transitions to Agriculture in Prehistory
Editors: Salvador Pardo-Gordó, Sean Bergin
Series Title: Computational Social Sciences
DOI: https://doi.org/10.1007/978-3-030-83643-6
Publisher: Springer Cham
eBook Packages: History, History (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-83642-9Published: 25 January 2022
Softcover ISBN: 978-3-030-83645-0Published: 26 January 2023
eBook ISBN: 978-3-030-83643-6Published: 24 January 2022
Series ISSN: 2509-9574
Series E-ISSN: 2509-9582
Edition Number: 1
Number of Pages: XIII, 260
Number of Illustrations: 4 b/w illustrations, 3 illustrations in colour
Topics: Archaeology, Computer Appl. in Social and Behavioral Sciences, Demography, Landscape Ecology, Computational Social Sciences