Paper Info
Title
Autonomous agents and human cultures in the trust-revenge game.
Abstract
Autonomous agents developed by experts are embedded with the capability to interact well with people from different cultures. When designing expert agents intended to interact with autonomous agents developed by non-game theory agents (NGTE), it is beneficial to obtain insights on the behavior of these NGTE agents. Is the behavior of these NGTE agents similar to human behavior from different cultures? This is an important question as such a quality would allow an expert agent interacting with NGTE agents to model them using the same methods that are used to model humans from different cultures. To study this point, we evaluated NGTE agents behavior using a game called the Trust–Revenge game, which is known in social science for capturing different human tendencies. The Trust–Revenge game has a unique subgame-perfect equilibrium strategy profile, however, very rarely do people follow it. We compared the behavior of autonomous agents to the actions of several human demographic groups—one of which is similar to the designers of the autonomous agents. We claim that autonomous agents are similar to human players from various cultures. This enables the use of approaches, developed for handling cultural diversity among humans, to be applied for interaction with NGTE agents. This paper also analyzes additional aspects of autonomous agents behavior and whether composing autonomous agents affects human behavior.
Year
DOI
Venue
2016
10.1007/s10458-015-9297-1
Autonomous Agents and Multi-Agent Systems
Keywords
Field
DocType
Autonomous agents design,Human–agent interaction,Cultural disparity
Autonomous agent,Simulation,Computer science,Cultural diversity,Human–computer interaction,Artificial intelligence,Machine learning
Journal
Volume
Issue
ISSN
30
3
1387-2532
Citations 
PageRank 
References 
1
0.36
31
Authors
3
Name
Order
Citations
PageRank
Amos Azaria127232.02
Ariella Richardson2395.03
Avi Rosenfeld321624.80