Increasing Agent’s Impression with Estimation of Other’s Viewpoint:

From Plays of Card Game Hanabi with AI

Abstract

AI research on incomplete information games has aspects that imitate human intelligence. The author chose a card game called Hanabi as an evaluation of imitating human intelligence with AI. Hanabi is a cooperative and incomplete information card game, and this game has a unique feature that a player cannot observe his / her own cards. Player selects whether to build a set of cards or discard the card while providing hints of the card with the cooperator. In the previous research, it was shown that the imitation of human behavior that corrects incomplete information increases the score in Hanabi play between agents. The author evaluated agent's function to modify incomplete information based on behavior of cooperator in the game with human and agent. I experimented with human and two kinds of agents with a difference whether to imitate modify incomplete information as a cooperator of experiment participants and I analyzed the game results and impression evaluation of participants. The result is that while the imitation of reflex intelligence is not effective for increasing the score, the participant has a good impression on the agent when the agent modifies the incomplete information properly, and the difference with the case of human collaborator was not seen.