Agent-Based Modeling of Society Resistance against Unpopular Norms

People lives in a society adhering to different types of norms, and some of these norms are unpopular. This paper proposes an agent-based model for unpopular norm aversion. The proposed model is simulated asking important "what-if" questions to elaborate on the conditions and reasons behin...

Full description

Saved in:
Bibliographic Details
Published in:Informatica (Ljubljana) 2019-06, Vol.43 (2), p.209-219
Main Authors: Zia, Kashif, Saini, Dinesh Kumar, Muhammad, Arshad, Farooq, Umar
Format: Article
Language:English
Subjects:
Agent-based models
Artificial intelligence
Behavior
Computer simulation
Digital media
Enforcement
Human behavior
Norms
Simulation
Social networks
Society
Sociology
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:People lives in a society adhering to different types of norms, and some of these norms are unpopular. This paper proposes an agent-based model for unpopular norm aversion. The proposed model is simulated asking important "what-if" questions to elaborate on the conditions and reasons behind the emergence, spreading and aversion of unpopular norms. Such conditions can thus be analyzed and mapped onto the behavioral progression of real people and patterns of their interactions to achieve improved societal traits particularly using the new social landscape dominated by digital content and social networking. Hence, it can be argued that careful amalgamation of social media content can not only educate the people but also help them in an aversion of undesirable behaviors such as retention and spreading of unpopular norms. Simulation results revealed that to achieve a dominant norm aversion, an agent population must incorporate a rational model, besides, active participation of agents in averting unpopular norms.
ISSN:0350-5596
1854-3871
DOI:10.31449/inf.v43i2.1888