2015
DOI: 10.1016/j.artint.2015.08.003
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Modelling structured societies: A multi-relational approach to context permeability

Abstract: The structure of social relations is fundamental for the construction of plausible simulation scenarios. It shapes the way actors interact and create their identity within overlapping social contexts. Each actor interacts in multiple contexts within different types of social relations that constitute their social space. In this article, we present an approach to model structured agent societies with multiple coexisting social networks. We study the notion of context permeability, using a game in which agents t… Show more

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Cited by 5 publications
(3 citation statements)
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References 32 publications
(40 reference statements)
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“…Yet another difference is that in the current paper the data both for alcohol and for smoking have been considered, whereas in [11] only the data for alcohol were considered. For further refinements of the model, also more specific models for the contagion effects can be included, for example using inspiration from [13].…”
Section: Discussionmentioning
confidence: 99%
“…Yet another difference is that in the current paper the data both for alcohol and for smoking have been considered, whereas in [11] only the data for alcohol were considered. For further refinements of the model, also more specific models for the contagion effects can be included, for example using inspiration from [13].…”
Section: Discussionmentioning
confidence: 99%
“…To model their beliefs agents are classified into three categories: one minority that adopts quasi-optimal behavior, another minority that adopts random behavior, and a majority of agents who mimic members of their social networks [2], social circles [12,11] or contexts [19].…”
Section: Purposementioning
confidence: 99%
“…Thus, the question to be investigated is how members of a research group should update on the receipt of new evidence in a social setting, where they also have access to relevant beliefs of (some or all of) their colleagues, supposing the group wants to strike the best balance between speed (getting at the truth fast) and accuracy (minimizing error rates). The main methodological tool to be used is that of computational agent-based modelling, which has become a central topic in artificial intelligence (Shoham, Powers, & Grenager, 2007;Tamargo, Garcia, Falappa, & Simari, 2014;Nunes & Antunes, 2015;Gottifredi et al, 2018). Specifically, we build on the well-known Hegselmann-Krause (HK) model for studying opinion dynamics in groups of interacting agents focused on a common research question (Hegselmann & Krause, 2002, 2005, 2009; for related models, see Deffuant et al, 2000;Dittmer, 2001;Weisbuch et al, 2002;Pluchino, Latora, & Rapisarda, 2006;Semeshenko, Gordon, & Nadal, 2008;De Langhe & Greiff, 2010).…”
Section: Introductionmentioning
confidence: 99%