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.
Keywords
Cite
@article{arxiv.1801.05796,
title = {Towards a computational model of social norms},
author = {Ladislau Bölöni and Taranjeet Singh Bhatia and Saad Ahmad Khan and Jonathan Streater and Stephen M. Fiore},
journal= {arXiv preprint arXiv:1801.05796},
year = {2018}
}