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Authors: Enzo Battistella and Laurence Cholvy

Affiliation: ONERA, France

Keyword(s): Opinion Diffusion, Logic, Modelisation, Simulation.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Bioinformatics ; Biomedical Engineering ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Knowledge Representation and Reasoning ; Methodologies and Technologies ; Operational Research ; Simulation ; Symbolic Systems

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 several formats:
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 1: ICAART; ISBN 978-989-758-275-2; ISSN 2184-433X, SciTePress, pages 17-28. DOI: 10.5220/0006530900170028

@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 1: ICAART},
year={2018},
pages={17-28},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006530900170028},
isbn={978-989-758-275-2},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - A Logical Approach to Extreme Opinion Diffusion
SN - 978-989-758-275-2
IS - 2184-433X
AU - Battistella, E.
AU - Cholvy, L.
PY - 2018
SP - 17
EP - 28
DO - 10.5220/0006530900170028
PB - SciTePress