A Logical Approach to Extreme Opinion Diffusion

Enzo Battistella, Laurence Cholvy

Abstract

This paper focuses on diffusion of extreme opinions among agents which influence each other. In this work, opinions are modeled as formulas of the propositional logic or equivalently, as sets of propositional interpretations. Moreover, we assume that any agent changes its opinion by merging the opinions of its influencers, from most to least influential. We propose a first definition of extreme opinions and extremism. We then consider degrees of extremism. Formal studies of these definitions are made as well as simulations.

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Paper Citation


in Harvard Style

Battistella E. and Cholvy L. (2018). A Logical Approach to Extreme Opinion Diffusion.In Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-275-2, pages 17-28. DOI: 10.5220/0006530900170028


in Bibtex Style

@conference{icaart18,
author={Enzo Battistella and Laurence Cholvy},
title={A Logical Approach to Extreme Opinion Diffusion},
booktitle={Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2018},
pages={17-28},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006530900170028},
isbn={978-989-758-275-2},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - A Logical Approach to Extreme Opinion Diffusion
SN - 978-989-758-275-2
AU - Battistella E.
AU - Cholvy L.
PY - 2018
SP - 17
EP - 28
DO - 10.5220/0006530900170028