用基本自适应人工智能开发视频游戏:一种智能系统方法

A. Meliones, Ioannis Plas
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引用次数: 0

摘要

电子游戏越来越多地展示了大量的视听真实感,与计算机系统的巨大性能改进相当。与此同时,它们的人工智能(AI)组件在现实主义方面不足,因为它通常基于非自适应方法。自适应AI机制有助于提高电子游戏的真实感,使游戏能够实时适应游戏进程和用户行为。在简要概述过去几年AI在电子游戏中的发展之后,本文重点介绍了使用Unity游戏开发框架创建具有基本和初级自适应游戏AI的现代电子游戏。特别强调的是AI组件的细节。首先,我们创造了一款带有基本AI的射击游戏。最后,我们创造了一款基于基本案例的自适应AI的动作冒险电子游戏。这款游戏的目标是创造出能够感知环境变化并相应地调整策略的敌人。拟议的人工智能实践可以迁移到相关的现实世界应用中,例如视频监控和入侵检测系统,关键任务自主网络巡逻和/或拯救和救援机器人,视觉和听力辅助应用,智能视频和行为分析,以检测和预测威胁等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Developing video games with elementary adaptive artificial intelligence in unity: An intelligent systems approach
Video games have increasingly demonstrated a great deal of audiovisual realism, in par with the massive performance improvement of computer systems. At the same time, their Artificial Intelligence (AI) component falls short in terms of realism because it is usually based on non-adaptive methods. Adaptive AI mechanisms can help increase video game realism allowing the game to adapt in real-time to the game progress and the user behavior. Following a short overview of the progress of AI in video games in the past years, this paper highlights the creation of modern video games with basic and elementary adaptive game AI using the Unity game development framework. Particular emphasis is on the details of the AI component. First, a shooter game with basic AI is created. Finally, an action-adventure video game is created featuring elementary case-based adaptive AI. The objective in this game is to create enemies which are able to perceive changes in the environment and adapt their strategies accordingly. Proposed AI practices can migrate into relevant real world applications, such as video surveillance and intrusion detection systems, mission critical autonomous networked patrolling and/or save and rescue robots, vision and hearing assistive applications, intelligent video and behavioral analytics to detect and predict threats etc.
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