Generative Models of Cultural Decision Making for Virtual Agents Based on User’s Reported Values

Abstract

Building computational models of cultural decision making for virtual agents based on behavioral data is a challenge because finding a reasonable mapping between the statistical data and the computational model is a difficult task. This paper shows how the weights on a multi attribute utility based decision making model can be set according to the values held by people elicited through a survey. If survey data from different cultures is available then this can be done to simulate cultural decision making behavior. We used the survey data of two sets of players from US and India playing the Dictator Game and the Ultimatum Game on-line. Analyzing their reported values in the survey enabled us to set up our model’s parameters based on their culture and simulate their behavior in the Ultimatum Game.