Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

PL EN


2024 | 56 | 3 | 189 - 219

Article title

AGENTOVĚ ORIENTOVANÉ MODELOVÁNÍ REVOLUČNÍCH PROCESŮ

Content

Title variants

EN
Agent-based modelling of revolutionary processes

Languages of publication

CS

Abstracts

EN
The objective of this work is to highlight recent advances in agent-based modelling of revolutionary processes, emphasizing the innovative methodologies of this emerging approach in social sciences. The revolutionary processes here are broadly defined as not only revolutions but rather as qualitative societal changes and related phenomena. Initially, we briefly clarify the fundamentals of agent-based modelling, including agents and environment, emergence, and generative mechanisms. We contrast these models with the more traditional equation-based methods prevalent in social sciences. We then detail Epstein's classical model of civil violence, which focuses on how central authorities mitigate decentralized rebellions. This is followed by Moro's model, which examines waves of civil violence against regimes. Subsequently, the model by Makowsky and Rubin is explored. It examines how centralizing authority and social network influence the phenomenon of preference falsification and its impact on institutional change. Lastly, Nowak and Lewenstein's use of cellular automata to analyse opinion polarization in populations is discussed. Each model is explained succinctly, requiring minimal mathematical background. We also highlight the emergent properties and critiques of these models. Moreover, we discuss the benefits and common criticisms of using agent-based modelling in social sciences.

Year

Volume

56

Issue

3

Pages

189 - 219

Physical description

Contributors

  • Fakulta humanitních studií, Univerzita Karlova, Pátkova 2137/5, 182 00 Praha, Czech Republic
author

References

Document Type

Publication order reference

YADDA identifier

bwmeta1.element.cejsh-f800c4b6-5dfc-45f0-b124-f9a762fa944d
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.