Modeling agent's preferences by its designer's social value orientation. Issue 2 (4th March 2018)

• Record Type: Journal Article
• Authors: Zuckerman, Inon; Cheng, Kan-Leung; Nau, Dana S.
• Is Part Of: Journal of experimental & theoretical artificial intelligence. Volume 30:Issue 2(2018)
• Page Start: 257
• Page End: 277
• Publication Date: 2018-03-04
• Subjects: Agent modelling -- cognitive modelling -- repeated games -- social preference -- social value orientation (SVO); Artificial intelligence -- Periodicals; 006.3
• DOI: 10.1080/0952813X.2018.1430856
• Languages: English
• ISSNs: 0952-813X

Abstract

ABSTRACT: Human social preferences have been shown to play an important role in many areas of decision-making. There is evidence from the social science literature that human preferences in interpersonal interactions depend partly on a measurable personality trait called, Social Value Orientation (SVO). Automated agents are often written by humans to serve as their delegates when interacting with other agents. Thus, one might expect an agent's behaviour to be influenced by the SVO of its human designer. With that in mind, we present the following: first, we explore, discuss and provide a solution to the question of how SVO tests that were designed for humans can be used to evaluate agents' social preferences. Second, we show that in our example domain there is a medium–high positive correlation between the social preferences of agents and their human designers. Third, we exemplify how the SVO information of the designer can be used to improve the performance of some other agents playing against those agents, and lastly, we develop and exemplify the behavioural signature SVO model which allows us to better predict performances when interactions are repeated and behaviour is adapted.