JSAI2018

Presentation information

Poster presentation

General Session » Interactive

[3Pin1] インタラクティブ(1)

Thu. Jun 7, 2018 9:00 AM - 10:40 AM Room P (4F Emerald Lobby)

9:00 AM - 10:40 AM

[3Pin1-24] A proposal of automatic negotiation simulator Jupiter for negotiation agent using machine learning.

〇Tomoya Fukui1, Takayuki Ito1 (1. Nagoya Institute of Technology)

Keywords:automated negotiation, multi agent, artificial intelligence

The purpose of this paper is to propose Jupiter, a new environment for automated negotiations in which we can easily create agents that is able to use machine learning.
Genius is cited as a prior study of the environment where automated negotiation can be simulated.
It provides an environment for automated negotiations that aim to solve multi-issue negotiation problems.
In the field of automated negotiation, it is expected that agreement results are optimized by machine learning.
However, it is difficult to use Genius to simulate automated negotiations with agents using machine learning, because the past negotiations information provided by Genius is insufficient.
As above, we propose Jupiter as a new automated negotiation environment in which we can easily create agents that is able to use machine learning.
In addition, we compare Jupiter with Genius and show the superiority of Jupiter.