Computational Model Library

The doctrinal paradox in deliberative process and in majority voting (1.0.0)

This model proposes a new approach analyzing to the doctrinal paradox by considering a deliberative process (which can be represented by an agent-based model) in comparison with classical (binary) majority voting and an aggregation of (continuous) degrees of belief prior to majority voting. This model is a multivariate extension of the Hegselmann–Krause opinion dynamics model.

Release Notes

First commit.

Associated Publications

The doctrinal paradox in deliberative process and in majority voting 1.0.0

Submitted by Sacha Ferrari Published Jan 13, 2025 Last modified Jan 13, 2025

This model proposes a new approach analyzing to the doctrinal paradox by considering a deliberative process (which can be represented by an agent-based model) in comparison with classical (binary) majority voting and an aggregation of (continuous) degrees of belief prior to majority voting. This model is a multivariate extension of the Hegselmann–Krause opinion dynamics model.

Release Notes

First commit.

Cite this Model

Sacha Ferrari (2025, January 13). “The doctrinal paradox in deliberative process and in majority voting” (Version 1.0.0). CoMSES Computational Model Library. Retrieved from: https://www.comses.net/codebases/0d6de04d-0a06-4ce8-a78e-003ff0a520b9/releases/1.0.0/

Replication of a previously described model

Yes: Hegselmann–Krause opinion dynamics model (cf. Hegselmann, R. & Krause, U. (2002). Opinion dynamics and bounded confidence models, analysis, and simulation. Journal of Artificial Societies and Social Simulation, 5(3))

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Contributors
Sacha Ferrari
DOI
No assigned DOI
Model Version
1.0.0
License
GPL-3.0
Programming Language
Python
Software Framework
Jupyter Notebook Python
Operating System
Windows
Publish Date
Monday, January 13, 2025
Last Updated
Monday, January 13, 2025
Downloads 0
Peer Review
Unreviewed
Version Submitter First published Last modified Status
1.0.0 Sacha Ferrari Mon Jan 13 14:06:25 2025 Mon Jan 13 14:06:25 2025 Published

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