Deliberation

Presentation of the paper at the Conference “Autonomy and its Challenges” held by the Max Planck Institute for the Study of Crime, Security and Law

This dissertation investigates belief polarisation and opinion diversity through computational models of argumentation. Key findings show that even epistemically rational agents can polarise through deliberation, with egocentric argumentation strategies driving polarisation while allocentric strategies reduce it. The research also reveals that diverse groups face challenges in collective decision-making, as majority voting often yields inconsistent outcomes. The study introduces “taupy,” a new Python implementation for dialectical structures analysis, and demonstrates how computational modeling can reveal dynamic aspects of philosophical concepts that traditional methods cannot access.

KIdeKu examines the opportunities offered by these technologies to strengthen our deliberative culture, and in particular to increase participation in civil society and political debates.

Computational models have shown how polarisation can rise among deliberating agents as they approximate epistemic rationality. This …