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Production of game AIs using co-evolution which can be rivals of human players

使用共同进化技术生产可以与人类玩家竞争的游戏人工智能

基本信息

批准号：
24700144
负责人：
IKEDA Kokoro
金额：
$ 2.91万
依托单位：
Japan Advanced Institute of Science and Technology
依托单位国家：
日本
项目类别：
Grant-in-Aid for Young Scientists (B)
财政年份：
2012
资助国家：
日本
起止时间：
2012-04-01 至 2014-03-31
项目状态：
已结题

项目摘要

The main purpose of this research is to entertain human players. For this purpose, methodologies for generating computer players have been proposed, which can control the position according to the opponent's level, reduce the frequency of unnatural moves, and produce varied strategies. In addition, researches for improving the strength of computer players have been also done, and an academic platform of a game has been also published. The target games are Othello, Go, Puyo-pop, Turn-Based Strategy and Mahjong Titans.For Othello and Go, entertaining programs were proposed and evaluated through experiments using human subjects, and the effectiveness were proved. For Othello, co-evolution approach was used so that the computer players had almost the same strength to a human, and had different strategies from other players. For Go, many requirements for entertaining players were summarized in a list, and an online position control method which can reduce the unnatural moves was proposed.

这项研究的主要目的是娱乐人类玩家。为此目的，已经提出了用于生成计算机玩家的方法，该方法可以根据对手的水平控制位置，减少不自然移动的频率，并产生不同的策略。此外，还进行了提高电脑玩家实力的研究，并发布了一个游戏的学术平台。以奥塞洛、围棋、Puyo-pop、回合制策略和麻将泰坦为目标游戏，针对奥塞洛和围棋提出了娱乐方案，并通过人体实验进行了评价，证明了其有效性。对于奥塞洛，采用协同进化的方法，使计算机玩家具有与人类几乎相同的力量，并具有与其他玩家不同的策略。对于围棋，将许多娱乐玩家的要求总结在一个列表中，并提出了一种在线位置控制方法，可以减少不自然的动作。

项目成果

期刊论文数量（0）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Evaluation of Pattern Shapes in Board Games before Machine-Learning

机器学习之前棋盘游戏图案形状的评估

DOI：
发表时间：
2013
期刊：
International Journal of Electrical Engineering
影响因子：
0
作者：
Fatos Xhafa; Xavier Herrero;Admir Barolli;and Makoto Takizawa;Yoshikazu Hata;Huy Nguyen and Kokolo Ikeda
通讯作者：
Huy Nguyen and Kokolo Ikeda

モンテカルロ碁における多様な戦略の演出と形勢の制御～接待碁AIに向けて

指挥各种策略，掌控蒙特卡洛围棋局势 - 走向娱乐围棋AI