Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2018
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2018
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2018
Data sources: Datacite
versions View all 2 versions
addClaim

Modelling the Emergence of Social Complexity in NetLogo

Authors: Andre, Raffael;

Modelling the Emergence of Social Complexity in NetLogo

Abstract

This NetLogo model (IDE version 6.0.4) is a replication of the model described in [1], a social simulation that tests the Circumscription Theory using agent-based modelling. According to this theory, the emergence of states (autonomous political units of higher social complexity) is a predictable response to environmental circumscription, which is supposed to entail warfare of social groups over available land resources [2]. For the purpose of this model, social complexity is defined as political hierarchy, implicitly emerging when social groups subjugate each other through warfare. The highest level of social complexity is achieved when one of the initial social groups subjugates all the others in the simulation. Using this model, environmental circumscription can be simulated by decreasing the amount of land resources (habitable land), while leaving the number of competing social groups constant. The model was used to test the following hypothesis: an increase of habitable land in the modelled artificial landscape also increases the time (measured in time-steps) required for one social group to subjugate all other groups in the simulation, and for social complexity to emerge. A short summary of the research project, that this model is the result of, can be found in [3].

{"references": ["[1] S. Scott, \"Environmental Circumscription and the Emergence of Social Complexity,\" in Computational Social Science Society of America (CSSSA) Annual Conference 2011, Washington, DC: Computational Social Science Society of America, 2011.", "[2] R. L. Carneiro, \"A Theory of the Origin of the State,\" Science, New Series, vol. 169, pp. 733-738, 1970.", "[3] R. Andre, \"Simulating the Emergence of Social Complexity Using Agent-Based Modelling,\" in Proceedings of the MEi:CogSci Conference 2018, Bratislava: Comenius University, p. 64, 2018"]}

Keywords

Social simulation, Social complexity, Agent-based modelling

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 4
    download downloads 1
  • 4
    views
    1
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
Average
4
1