2010
DOI: 10.1111/j.1468-2478.2009.00576.x
|View full text |Cite
|
Sign up to set email alerts
|

Growing Sovereignty: Modeling the Shift from Indirect to Direct Rule

Abstract: ETH Zü richDrawing on theories of historical sociology, we model the emergence of the territorial state in early modern Europe. Our modeling effort focuses on systems change with respect to the shift from indirect to direct rule. We first introduce a one-dimensional model that captures the tradeoff between organizational and geographic distances. In a second step, we present an agent-based model that features states with a varying number of organizational levels. This model explicitly represents causal mechani… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
12
0

Year Published

2010
2010
2021
2021

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 11 publications
(12 citation statements)
references
References 31 publications
0
12
0
Order By: Relevance
“…States may just as easily interact in cyberspace with distant states as with geographic neighbours. Our model in its fundamental form, in contrast with some earlier models of statecraft [9,14], eschews geography completely, allowing states to interact without regard to any concept of neighbourhood. However, it should be noted that the model framework is flexible enough that explicit geographies could be easily encoded in future work.…”
Section: Tuning the Model For Cyberspacementioning
confidence: 99%
See 1 more Smart Citation
“…States may just as easily interact in cyberspace with distant states as with geographic neighbours. Our model in its fundamental form, in contrast with some earlier models of statecraft [9,14], eschews geography completely, allowing states to interact without regard to any concept of neighbourhood. However, it should be noted that the model framework is flexible enough that explicit geographies could be easily encoded in future work.…”
Section: Tuning the Model For Cyberspacementioning
confidence: 99%
“…These early studies broadly exposed the possibilities of simulation in this field. They were often concerned with the emergence and dissolution of states in quasi-geographic settings (e.g., Cederman and Girardin [14]) and with the balance between cooperation and competition (e.g., Bearce and Fisher [15] and Majeski [16]). The model reported here builds on this work in the particular context of cyberspace, where power diffusion is a key consideration [3] and geography much less so.…”
Section: Introductionmentioning
confidence: 99%
“…Cederman and Girardin (2010), for example, model the emergence of territorial states in early modern Europe, while Cioffi-Revilla and Rouleau (2010) examine the effects of insurgency in a complex polity. Most applications of complex systems in international politics rely on agent-based simulations.…”
Section: The Uses and Limits Of Complex Systemsmentioning
confidence: 99%
“…This article seeks to do so by applying the principles of CAS to two puzzles in international politics: the problem of theorizing change in structural realism, and the dynamics of democratization across state borders. For recent uses of agent-based modeling in international politics, see Earnest (2008), Cioffi-Revilla and Rouleau (2010), and Cederman and Girardin (2010). The approach is not conducive to theory creation because its assumptions are bounded by inherent uncertainty, and thus perform poorly at producing testable hypotheses that lend themselves to empirical verification.…”
mentioning
confidence: 99%
“…Until recently there has been only a limited amount of modeling work directly addressing the evolution of large-scale polities (Dacey 1969(Dacey , 1974Bremer and Mihalka 1977;Cusack and Stoll 1990;Cederman 1997, Spencer 1998Cioffi-Revilla 2005;Cederman and Girardin 2010). Most of this work has focused exclusively on polity size, was limited to a small number of simulation runs, and was primarily motivated by questions of interest to political scientists.…”
Section: Introductionmentioning
confidence: 99%