Authors:
Arshad Muhammad
;
Kashif Zia
and
Dinesh Kumar Saini
Affiliation:
Sohar University, Oman
Keyword(s):
Agent-based Modeling and Simulation, Unpopular Norms, Emperors Dilemma, Norm Aversion.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Cooperation and Coordination
;
Distributed and Mobile Software Systems
;
Enterprise Information Systems
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Multi-Agent Systems
;
Self Organizing Systems
;
Software Engineering
;
Symbolic Systems
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 s
ocial 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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