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Asynchronous opinion dynamics on the k-nearest-neighbors graph
This paper is about a new model of opinion dynamics with opinion-depende...
03/20/2018 ∙ by Wilbert Samuel Rossi, et al. ∙
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Agent mental models and Bayesian rules as a tool to create opinion dynamics models
Traditional opinion dynamics models are simple and yet, enough to explor...
06/01/2021 ∙ by André C. R. Martins, et al. ∙
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Facilitating on-line opinion dynamics by mining expressions of causation. The case of climate change debates on The Guardian
News website comment sections are spaces where potentially conflicting o...
12/03/2019 ∙ by Tom Willaert, et al. ∙
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An agent-based model of multi-dimensional opinion dynamics and opinion alignment
It is known that individual opinions on different policy issues often al...
03/12/2020 ∙ by Simon Schweighofer, et al. ∙
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Winning Arguments: Interaction Dynamics and Persuasion Strategies in Good-faith Online Discussions
Changing someone's opinion is arguably one of the most important challen...
02/02/2016 ∙ by Chenhao Tan, et al. ∙
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Deep reinforced learning enables solving discrete-choice life cycle models to analyze social security reforms
Discrete-choice life cycle models can be used to, e.g., estimate how soc...
10/26/2020 ∙ by Antti J. Tanskanen, et al. ∙
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Polarization in Geometric Opinion Dynamics
In light of increasing recent attention to political polarization, under...
06/23/2021 ∙ by Jason Gaitonde, et al. ∙
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Discrete Opinion Dynamics with M choices
05/26/2019 ∙ by André C. R. Martins, et al. ∙
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Here, I study how to obtain an opinion dynamics model for the case where there are M possible discrete choices and there is need to model how strong each agent choice is. The new model is obtained as an extension of the Continuous Opinions and Discrete Actions (CODA) model. Technical difficulties with the choice of proper variables for a simple model are solved. For the symmetrical case, a dimensionless model is found. However, when analyzing the results, a change of variables seems to be required for ease of interpretation. Extremism is observed here as well, generated by the local reinforcement of opinions inside domains of agents with the same choice.
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