Modeling agent's preferences by its designer's social value orientation.

Inon Zuckerman, Kan Leung Cheng, Dana S. Nau

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish
Article number2
Pages (from-to)257-277
Number of pages21
JournalJournal of Experimental and Theoretical Artificial Intelligence
Issue number2
StatePublished - 2018


  • Agent modelling
  • cognitive modelling
  • repeated games
  • social preference
  • social value orientation (SVO)

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence


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