智能游戏代理的简明回顾

IF 2.8 3区计算机科学 Q2 COMPUTER SCIENCE, CYBERNETICS

Entertainment Computing Pub Date : 2025-01-01 DOI:10.1016/j.entcom.2024.100894

Hui Li, Xinyi Pang, Bixia Sun, Kexin Liu

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引用次数: 0

摘要

智能游戏代理使用人工智能技术来模仿玩家的行为并自主做出决策。在过去的几十年里，智能代理的范围已经从国际象棋扩展到包含内容生成、玩家建模和结果预测，反映了该领域不断发展和多面性。在本文中，我们对最近关于游戏代理的智能方法和应用的文献进行了系统的回顾，以及一般的游戏代理框架。我们的研究结果表明，创建通用智能代理仍然是一个重大挑战，但值得探索更好地整合不同技术优势的方法，以构建更健壮和适应性更强的智能游戏代理。

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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A concise review of intelligent game agent

Intelligent game agents are crafted using AI technologies to mimic player behavior and make decisions autonomously. Over the past decades, the scope of intelligent agents has broadened from chess to encompass content generation, player modeling, and result prediction, reflecting the field’s evolving and multifaceted nature. In this paper, we conduct a systematic review of recent literature on intelligent methods and applications of game agents, along with general game agent frameworks. Our findings suggest that creating general intelligent agents remains a significant challenge, yet it is worthwhile to explore methods that better integrate the strengths of different techniques to build more robust and adaptable intelligent game agents.

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来源期刊

Entertainment Computing Computer Science-Human-Computer Interaction

CiteScore

5.90

自引率

7.10%

发文量

期刊介绍： Entertainment Computing publishes original, peer-reviewed research articles and serves as a forum for stimulating and disseminating innovative research ideas, emerging technologies, empirical investigations, state-of-the-art methods and tools in all aspects of digital entertainment, new media, entertainment computing, gaming, robotics, toys and applications among researchers, engineers, social scientists, artists and practitioners. Theoretical, technical, empirical, survey articles and case studies are all appropriate to the journal.