Development and evaluation of the game agent to change confidence of estimating in Cooperative game Hanabi

Abstract

AI agent for cooperation with human has to follow human thought. There are some research using cooperating game ‘Hanabi’ from various aspects such as self-estimation, psychology, and communication theory. In this research, we developed an agent’s strategy for following human thought for guessing human understanding of AI’s strategy to utilize the length of thinking time of the human player and changing the estimation reliability. As a result, the author found that this agent estimated more frequently to the good player of Hanabi than the conventional agent and there is a positive correlation between some evaluation to this agent and score. However, the agent that change estimation reliability depending on opponent’s thinking time didn’t affect human’s impression compared to the conventional agent and there was no significant difference in the score and the success rate of the estimation by changing the reliability of the estimation according to the thinking time.