Prolog-Scripted Tactics Negotiation and Coordinated Team Actions for Counter-Strike Game Bots

G. Jaskiewicz
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引用次数: 4

Abstract

κ-labs is a research project exploring the possibilities of the logic programming paradigm in bot behavior programming for first-person shooter (FPS) games. The focus of previous work was to make Prolog a usable tool for bot programming and a baseline for further extensions. This paper presents one such extension, which makes it possible to script tactics of the entire team of bots. The algorithm was tested by bot-to-bot computer tests and by running surveys among human players who volunteered to take part in the research. The results of the both tests are presented in this paper. The extension itself demonstrates the flexibility of the framework. Although the proposed method for defining team behaviors relies solely on the knowledge of the bot's designer, alternative approaches, which use rules that are obtained by computational techniques, can also be developed. Such approaches are also being investigated as part of the κ-labs project.
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《反恐精英》游戏机器人的序言脚本战术谈判和协调团队行动
κ-labs是一个研究项目,旨在探索逻辑编程范式在第一人称射击游戏(FPS)机器人行为编程中的可能性。以前的工作重点是使Prolog成为一个可用的机器人编程工具,并为进一步扩展奠定基础。本文提出了一个这样的扩展,它使整个机器人团队的脚本战术成为可能。该算法通过机器人对机器人的计算机测试和对自愿参加研究的人类玩家的调查进行了测试。本文给出了两种试验的结果。扩展本身展示了框架的灵活性。尽管所提出的定义团队行为的方法完全依赖于机器人设计者的知识,但也可以开发使用通过计算技术获得的规则的替代方法。这些方法也正在作为κ-labs项目的一部分进行研究。
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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来源期刊
IEEE Transactions on Computational Intelligence and AI in Games
IEEE Transactions on Computational Intelligence and AI in Games COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, SOFTWARE ENGINEERING
CiteScore
4.60
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: Cessation. The IEEE Transactions on Computational Intelligence and AI in Games (T-CIAIG) publishes archival journal quality original papers in computational intelligence and related areas in artificial intelligence applied to games, including but not limited to videogames, mathematical games, human–computer interactions in games, and games involving physical objects. Emphasis is placed on the use of these methods to improve performance in and understanding of the dynamics of games, as well as gaining insight into the properties of the methods as applied to games. It also includes using games as a platform for building intelligent embedded agents for the real world. Papers connecting games to all areas of computational intelligence and traditional AI are considered.
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