Towards A Computational Model Of Social Norms
Abstract
We describe a computational model of social norms based on identifying values that a certain culture finds desirable such as dignity, generosity and politeness. The model quantifies these values in the form of Culture-Sanctioned Social Metrics (CSSMs) and treats social norms as the requirement to maximize these metrics from the perspective of the self, peers and public. This model can be used to create realistic social simulations, to explain or predict human behavior in specific scenarios, or as a component of robots or agents that need to interact with humans in specific social-cultural settings. We validate the model by using it to represent a complex deception scenario and showing that it can yield non-trivial insights such as the explanation of apparently irrational human behavior.
Publication Date
4-1-2018
Publication Title
PLoS ONE
Volume
13
Issue
4
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1371/journal.pone.0195331
Copyright Status
Unknown
Socpus ID
85045197449 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85045197449
STARS Citation
Bölöni, Ladislau; Bhatia, Taranjeet Singh; Khan, Saad Ahmad; Streater, Jonathan; and Fiore, Stephen M., "Towards A Computational Model Of Social Norms" (2018). Scopus Export 2015-2019. 8294.
https://stars.library.ucf.edu/scopus2015/8294