DareFightingICE Competition: A Fighting Game Sound Design and AI Competition

Ibrahim Khan, T. Nguyen, Xincheng Dai, R. Thawonmas
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引用次数: 6

Abstract

This paper presents a new competition-at the 2022 IEEE Conference on Games (CoG)- called DareFightingICE Competition. The competition has two tracks: a sound design track and an AI track. The game platform for this competition is also called DareFightingICE, a fighting game platform. DareFightingICE is a sound-design-enhanced version of FightingICE, used earlier in a competition at CoG until 2021 to promote artificial intelligence (AI) research in fighting games. In the sound design track, participants compete for the best sound design, given the default sound design of DareFightingICE as a sample, where we define a sound design as a set of sound effects combined with the source code that implements their timing-control algorithm. Participants of the AI track are asked to develop their AI algorithm that controls a character given only sound as the input (blind AI) to fight against their opponent; a sample deep-learning blind AI will be provided by us. Our means to maximize the synergy between the two tracks are also described. This competition serves to come up with effective sound designs for visually impaired players, a group in the gaming community which has been mostly ignored. To the best of our knowledge, DareFightingICE Competition is the first of its kind within and outside of CoG.
DareFightingICE竞赛:格斗游戏声音设计和AI竞赛
本文介绍了2022年IEEE游戏大会(CoG)上的一项新竞赛——DareFightingICE竞赛。比赛有两条赛道:声音设计赛道和人工智能赛道。本次比赛的游戏平台也被称为DareFightingICE,一个格斗游戏平台。DareFightingICE是fighting ice的声音设计增强版本,在CoG的一场比赛中使用,直到2021年,以促进格斗游戏中的人工智能(AI)研究。在声音设计轨道中,参与者将竞争最佳声音设计,以《DareFightingICE》的默认声音设计为例,我们将声音设计定义为一组声音效果与执行其时间控制算法的源代码相结合。AI赛道的参与者被要求开发自己的AI算法,控制一个只提供声音作为输入的角色(盲AI)来对抗对手;我们将提供一个深度学习盲人工智能样本。本文还描述了我们如何最大限度地发挥这两个轨道之间的协同作用。这个竞赛旨在为视障玩家提供有效的声音设计,这是游戏社区中一个经常被忽视的群体。据我们所知,DareFightingICE比赛是CoG内外的首个此类比赛。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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