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Understanding Anasazi Culture Change Through Agent-Based Modeling
Abstract
Traditional narrative explanations of prehistory have become increasingly difficult to operationalize as models and to test against archaeological data. As such models become more sophisticated and complex, they also become less amenable to objective evaluation with anthropological data. Nor is it possible to experiment with living or prehistoric human beings or societies. Agentbased modeling offers intriguing possibilities for overcoming the experimental limitations of archaeology by representing the behavior of culturally relevant agents on landscapes. Manipulating the behavior of artificial agents on such landscapes allows us to, as it were, "rewind the tape" of sociocultural history and to experimentally examine the relative contributions of internal and external factors to sociocultural evolution (Gumerman and Kohler in press). Agent-based modeling allows the creation of variable resource (or other) landscapes that can be wholly imaginary or that can capture important aspects of real-world situations. These landscapes are populated with heterogeneous agents. Each agent is endowed with various attributes (e.g., life span, vision, movement capabilities, nutritional requirements, consumption and storage capacities) in order to replicate important features of individuals or relevant social units such as households, lineages, clans, and villages. A set of anthropologically plausible rules defines the ways in which agents interact with the environment and with one another. Alt…
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“Anthropological data can complement epidemiological and simulation studies by providing microfoundations for macro-level observations (Agar, 2005; Dean et al., 2000; Geller & Moss, 2008; Tubaro & Casilli, 2010; Yang & Gilbert, 2008).”
From Syndemics: a theory in search of data or data in search of a theory? (2018) · cites this paper as Dean et al., 2000
Citations
Cites
Wonderful life: the Burgess Shale and the nature of history
Gould, S. (1990) · Choice Reviews Online · doi:10.5860/choice.27-3873 · Cited by 3,001
Growing artificial societies: Social science from the bottom up
(1997) · Computers & Mathematics with Applications · doi:10.1016/s0898-1221(97)82923-9 · Cited by 1,680
Hassan, F. (1981) · Elsevier eBooks · doi:10.1016/b978-0-12-624180-8.50010-x · Cited by 467
Demographic Models for Anthropology
Weiss, K. M. (1973) · Cited by 350
The Anasazi in a Changing Environment
Woosley, A. I., & Gumerman, G. J. (1991) · The American Indian Quarterly · doi:10.2307/1185493 · Cited by 132
Self-citationThe Depopulation of the Northern San Juan: Conditions in the Turbulent 1200s
Lipe, W. D. (1995) · Journal of Anthropological Archaeology · doi:10.1006/jaar.1995.1008 · Cited by 100
Modeling Prehistoric Agricultural Productivity in Southwestern Colorado: A Gis Approach
West, C. R. V. (1997) · Research Exchange (Washington State University) · Cited by 80
Alluvial Chronology And Hydrologic Change Of Black Mesa And Nearby Regions
Karlstrom, T. N. V. (1988) · Cited by 35
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Mosler, H., & Brucks, W. M. (2001) · Springer eBooks · doi:10.1007/978-94-017-1177-7_8 · Cited by 3
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da Silva, P. S. (2011) · doi:10.11606/t.45.2011.tde-10042012-100539 · Cited by 3
Swedlund, A. C., Sattenspiel, L., Warren, A., Meindl, R. S., & Gumerman, G. J. (2016) · Wiley eBooks · doi:10.1002/9781118962954.ch20 · Cited by 3
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An evolutionary approach to military history.
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Arbab, N. N. (2014) · The Research Repository @ WVU (West Virginia University) · doi:10.33915/etd.5118 · Cited by 2
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Review of Evolving Planet[game]
Graham, S. (2016) · Internet Archaeology · doi:10.11141/ia.42.4 · Cited by 1
Roth, E. A. (2004) · Cambridge University Press eBooks · doi:10.1017/cbo9780511606793.005 · Cited by 1
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Koch, A. (2014) · Advances in geographic information science · doi:10.1007/978-3-319-00008-4_5 · Cited by 1
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Murgatroyd, P. (2012) · University of Birmingham Institutional Research Archive (University of Birmingham)
Chase-Dunn, C. K. (2006) · eScholarship (California Digital Library)
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David-Rus, R. (2012)
Wendel, S. (2012) · University Libraries (University of Maryland)
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Roth, E. A. (2004) · Cambridge University Press eBooks · doi:10.1017/cbo9780511606793.003
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Ballow, A., Chludzinski, L. R., & Prieto-Langarica, A. (2020) · Foundations for undergraduate research in mathematics · doi:10.1007/978-3-030-33645-5_6
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Schaff, F. (2020) · Springer proceedings in complexity · doi:10.1007/978-3-030-34127-5_40
Marinelli, C. E., Coelho, C. G. C., Ralha, C. G., Zaghetto, A., & Macchiavello, B. (2010) · Anais do Simpósio Brasileiro de Sistemas de Informação (SBSI) · doi:10.5753/sbsi.2010.14702
An Introduction to Simulating Transitions to Agriculture in Prehistory
Bergin, S. M., & Pardo-Gordó, S. (2021) · Computational social sciences · doi:10.1007/978-3-030-83643-6_1
Pumain, D. (2019) · Wiley eBooks · doi:10.1002/9781119687290.refs
(2010) · Wiley eBooks · doi:10.1002/9780470666517.refs
Gallagher, E. M., & Bryson, J. J. (2017) · Springer eBooks · doi:10.1007/978-3-319-47829-6_224-1 · Cited by 1
How do agent types represent human behaviour in land use change modelling?
(2011) · International Congress on Modelling and Simulation (MODSIM) · doi:10.36334/modsim.2011.g4.vandelden
Metadata
- Authors
- Dean, J. S., & Gumerman, G. J.
- Affiliations
- University of Arizona (US)
- Venue
- Dynamics in Human and Primate Societies
- Publisher
- Oxford University Press
- Published
- 2000-02-10
- OpenAlex
- W1515173830
- Cited by
- 215
- References
- 8
- Citations by year
- 2026: 3 · 2025: 1 · 2024: 4 · 2023: 14 · 2022: 3 · 2021: 8 · 2020: 11 · 2019: 5 · 2018: 4 · 2017: 13 · 2016: 17 · 2015: 10 · 2014: 10 · 2013: 12 · 2012: 15
- FWCI
- 64.50
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Oxford University Press eBooks (publishedVersion)
- Topics
- Social Sciences › Cultural Studies › Language and cultural evolution
- Physical Sciences › Computer Science › Artificial Intelligence › Multi-Agent Systems and Negotiation
- Social Sciences › Archeology › Archaeology and ancient environmental studies
- Keywords
- Ancestral Puebloans, social evolution, agent-based modeling, experimental archaeology, model validation, resource landscapes
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