[1P3-GS-7] Agents: Communications and agents

[1P3-GS-7-02] The effect of exaggeration on Modeling of Request-Requested with Psychological Factors

〇Asumi Nagai¹, Takashi Takekawa¹ (1. Kougakuin University)

Keywords:Reinforcement Learning, simulation

Many usual asking to other people do not use clear reward like a money. In such asking, the task properties such as effect and burden are important for ones decision making. In such situations, psychological factors could work as reward. And how psychological factors work is also important for human relationships. Moreover, there are difference between the task property in your mind and that you tell others. In this work, we focus on exaggeration intentionally added to effect and burden. Therefore, we investigated relationships between exaggeration and reward by simulation. As a result, in requesting situations, it is found that exaggeration of effect suppress other people’s exaggeration of burden and rewards of both are bigger than that without exaggeration.