Complexity 2019:1-31 (2019)

Authors
Gabriella Pigozzi
Université Paris Dauphine
Abstract
In this article, we propose an agent-based model of opinion diffusion and voting where influence among individuals and deliberation in a group are mixed. The model is inspired from social modeling, as it describes an iterative process of collective decision-making that repeats a series of interindividual influences and collective deliberation steps, and studies the evolution of opinions and decisions in a group. It also aims at founding a comprehensive model to describe collective decision-making as a combination of two different paradigms: argumentation theory and ABM-influence models, which are not obvious to combine as a formal link between them is required. In our model, we find that deliberation, through the exchange of arguments, reduces the variance of opinions and the proportion of extremists in a population as long as not too much deliberation takes place in the decision processes. Additionally, if we define the correct collective decisions in the system in terms of the arguments that should be accepted, allowing for more deliberation favors convergence towards the correct decisions.
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DOI 10.1155/2019/3758159
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References found in this work BETA

Why Do Humans Reason? Arguments for an Argumentative Theory.Dan Sperber - 2011 - Behavioral and Brain Sciences 34 (2):57.
The Law of Group Polarization.Cass R. Sunstein - 2002 - Journal of Political Philosophy 10 (2):175–195.

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Citations of this work BETA

Arguments as Drivers of Issue Polarisation in Debates Among Artificial Agents.Felix Kopecky - 2022 - Journal of Artificial Societies and Social Simulation 25 (1).

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