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摘要

人工智能(AI)是开发模仿人类思维的人工方法的通用领域。电脑游戏是由硬件和软件组成的电子游戏,涉及人类与用户界面的互动,以产生视觉反馈。如今,人工智能技术越来越多地应用于电脑游戏中,以模拟类似人类的智能并创造智能行为。特别是在新开发的电脑游戏中,可以看到AI被整合到数字游戏中,称为“游戏人工智能”。在这种情况背后,本质上是通过AI提供决策、感知和预测技能来模拟数字游戏中的游戏设置和对手玩家行为。本研究旨在利用开源的Unity 3D游戏模拟器和“Jetbrains Rider”编译器,以c#编程语言开发一款基于ai的电脑游戏(AI-DIGPOKGAME)并进行精度分析,用户可以自行开发数字游戏模型。在研究范围内,进行了13(十三)次实验。在上述实验中,我们已经验证了在玩家对抗AI的游戏设置框架内,AI成功地实现了游戏的基本原则,以增加竞争并将战斗保持在最高水平。通过在数字游戏中提供AI的决策、感知和预测技能,以及未来基于AI开发新的计算机游戏模型,本研究将有助于AI研究领域的发展,揭示AI在游戏中对对手玩家行为的模拟。
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UNITY 3D Simülatöründe Geliştirilen Yapay Zekâ (YZ) Tabanlı Dijital Oyunun Karar Verme Yeteneğinin Doğruluk Analizi
– Artificial Intelligence (AI) is a universal field for developing artificial methods that mimic human thinking. Computer games are electronic games consisting of hardware and software that involve human interaction with a user interface to generate visual feedback. Nowadays, it is seen that AI technology is increasingly used in computer games to simulate human-like intelligence and create intelligent behaviors. Especially in newly developed computer games, it is seen that AI is integrated into digital games as “Game Artificial Intelligence”. Behind this situation, there is essentially the simulation of game setup and opponent player behavior in digital games by providing decision making, perception and prediction skills with AI. In this research, it is aimed to develop an AI-based computer game (AI-DIGPOKGAME) and accuracy analysis in C# programming language with the open source Unity 3D Game simulator and "Jetbrains Rider" compiler, which allows users to develop their own digital game models. Within the scope of the study, 13 (thirteen) experiments were carried out. In the aforementioned experiments, it has been verified that within the framework of the game setup where the player fights against AI, AI successfully fulfills the basic principles of the game in order to increase competition and keep the fight at the highest level. It is considered that this research will contribute to the field of AI study in terms of revealing the simulation of rival player behavior in games by AI by providing decision making, perception and prediction skills with AI in digital games and developing new computer game models based on AI in the future.
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