[1G4-OS-13b] “ナッジ”エージェント：人をウェルビーイングへと導くエージェントの構築へ向けて(2)

[1G4-OS-13b-01] Framework for Human-Agent Team using Implicit Information Showing via Behavior

〇Ryo Nakahashi¹, Seiji Yamada^2,1 (1. The Graduate University for Advanced Studies(Sokendai), 2. National Institute of Informatics)

Keywords:Human Agent Interaction, Multi Agent Planning

The problem that autonomous agents and humans cooperate to solve one task is one big theme in the field of Human Agent Interaction. We are interested in cooperative agents that improve human plans naturally not just assisting human plans. As a situation where such an agent is useful, there is situation where a person and an agent have only part of information to achieve tasks. We developed a framework of agents that cooperates on the premise that humans and agents implicitly communicate information through actions with each other in this situation. We formulated the target situation as a Human-Agent Team problem and developed an agent planning method for this problem. This method is composed of two parts, the model that human's predict other purpose and the planning algorithms under the models, which are realized by improving existing methods called CIRL and Bayesian Inverse Planning, respectively. We evaluate our method through participant experiments that humans achieve simple tasks with autonomous agents and confirmed that our method has good performance of collaborative work.