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Coordinated Decisions and Unbalanced Power. How Latin Cities Shaped Their Terrestrial Transportation Network
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Advanced approaches such as agent-based models, systems of nonlinear equations, stochastic simulations, and iterative optimisation techniques come with heavy demands on computational resources and parameter supply, limiting them to singular case studies.
“Attempts to more fully capture the complex interaction and evolution dynamics of networks have been undertaken with considerable success in archaeology; by advanced means such as agent-based models (ABM), systems of nonlinear equations and stochastic simulations (e.g.Graham, 2006;Wilkinson et al., 2007;Bevan and Wilson, 2013;Lawall and Graham, 2018;see Evans, 2018 for an overview), and iterative”
From Exploratory network reconstruction with sparse archaeological data and XTENT (2022) · cites this paper as Fulminante et al., 2017
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Modelling of pathways and movement networks in archaeology: an overview of current approaches
Verhagen, P., Nuninger, L., & Groenhuijzen, M. R. (2019) · Computational Social Sciences · doi:10.1007/978-3-030-04576-0_11 · Cited by 117
Exploratory network reconstruction with sparse archaeological data and XTENT
Ducke, B., & Suchowska, P. (2022) · Journal of Archaeological Method and Theory · doi:10.1007/s10816-021-09529-3 · Cited by 12
Metadata
- Authors
- Fulminante, F., Prignano, L., Morer, I., & Lozano, S.
- Venue
- Frontiers in Digital Humanities
- Publisher
- Frontiers Media SA
- Published
- 2017-02-13
- Volume
- 4
- ISSN
- 2297-2668
- Cited by
- 12
- References
- 0
- Funders
- European Research Council (340828)
- Ministerio de Economía y Competitividad (RYC-2012-01043)
- European Commission (FP7-PEOPLE-2013-IEF, Project 628818)
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