The Value of Values and Norms in Social Simulation

Authored by Rijk Mercuur, Virginia Dignum, Catholijn M Jonker

Date Published: 2019

DOI: 10.18564/jasss.3929

Sponsors: No sponsors listed

Platforms: Java R

Model Documentation: Other Narrative

Model Code URLs: https://www.comses.net/codebase-release/65b6dec2-cd58-4f03-a5da-2110f291bcfa/ https://github.com/rmercuur/UltimatValuesR

Abstract

Social simulations gain strength when agent behaviour can (1) represent human behaviour and (2) be explained in understandable terms. Agents with values and norms lead to simulation results that meet human needs for explanations, but have not been tested on their ability to reproduce human behaviour. This paper compares empirical data on human behaviour to simulated data on agents with values and norms in a psychological experiment on dividing money: the ultimatum game. We find that our agent model with values and norms produces aggregate behaviour that falls within the 95\% confidence interval wherein human behaviour lies more often than other tested agent models. A main insight is that values serve as a static component in agent behaviour, whereas norms serve as a dynamic component.

Tags

Agent-based model behavior models Ultimatum game Norms Empirical Data games Human values