Agent-based Simulation of Socially-inspired Model of Resistance against Unpopular Norms

Arshad Muhammad, Kashif Zia, Dinesh Kumar Saini

Abstract

People lives in the society adhering to different norms. Some of these norms are unpopular. Sometimes, for the overall societal good, it is necessary to oppose and possibly avert unpopular norms. To achieve this goal, it is necessary to know the conditions, which enable persistence of the unpopular norms and models that support possible aversion of them. This study attempts to elaborate the conditions and reasons for the emergence, spreading and aversion of unpopular norms in society, using theory-driven agent-based simulation. The simulation results reveal that in addition to agents actively participating in averting the unpopular norm, incorporating a rational decision-making model in the population of agents is necessary to achieve a dominant norm aversion. The significance of these results concerning digital societies is enormous. In the new social landscape dominated by digital contents (particularly of social networking), it can be argued that careful amalgamation of social media contents can not only educate the people but also be useful in aversion of undesirable behavior, for example, retention and spreading of unpopular norms.

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Paper Citation


in Harvard Style

Muhammad A., Zia K. and Saini D. (2018). Agent-based Simulation of Socially-inspired Model of Resistance against Unpopular Norms.In Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-275-2, pages 133-139. DOI: 10.5220/0006735501330139


in Bibtex Style

@conference{icaart18,
author={Arshad Muhammad and Kashif Zia and Dinesh Kumar Saini},
title={Agent-based Simulation of Socially-inspired Model of Resistance against Unpopular Norms},
booktitle={Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2018},
pages={133-139},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006735501330139},
isbn={978-989-758-275-2},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Agent-based Simulation of Socially-inspired Model of Resistance against Unpopular Norms
SN - 978-989-758-275-2
AU - Muhammad A.
AU - Zia K.
AU - Saini D.
PY - 2018
SP - 133
EP - 139
DO - 10.5220/0006735501330139