期刊
PHILOSOPHICAL STUDIES
卷 -, 期 -, 页码 -出版社
SPRINGER
DOI: 10.1007/s11098-023-02059-6
关键词
Social epistemology; Polarisation; Argumentation; Deliberation; Agent-based models (ABM); Opinion dynamics; Epistemic rationality
类别
Computational models have shown that polarization can occur among deliberating agents. This paper further supports this thesis and suggests that polarization is not dependent on memory restrictions or biased evaluations. Deliberation is modeled through introduction of arguments and rational reactions, which in turn induce polarization dynamics. The size of polarization effects is correlated with specific types of argumentative behavior. Taking others' opinions into account can mitigate polarization effects, while reinforcing one's own beliefs can amplify them. These results underline the relevance of argumentation in social-epistemic processes and challenge the assumption that rising polarization indicates epistemic shortcomings.
Computational models have shown how polarisation can rise among deliberating agents as they approximate epistemic rationality. This paper provides further support for the thesis that polarisation can rise under condition of epistemic rationality, but it does not depend on limitations that extant models rely on, such as memory restrictions or biased evaluation of other agents' testimony. Instead, deliberation is modelled through agents' purposeful introduction of arguments and their rational reactions to introductions of others. This process induces polarisation dynamics on its own. A second result is that the effect size of polarisation dynamics correlates with particular types of argumentative behaviour. Polarisation effects can be soothed when agents take into account the opinions of others as premises, and they are amplified as agents fortify their own beliefs. These results underpin the relevance of argumentation as a factor in social-epistemic processes and indicate that rising issue polarisation is not a reliable indicator of epistemic shortcomings.
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