本帖最后由 coldfire913 于 2017-1-23 17:12 编辑
Enemy characters exhibiting believable reactions to the player and their environment in video games is the hallmark of a good play experience. How can this be achieved in a way that works in any gameplay space? In this course, Creating AI with Behavior States in Unreal Engine, you will learn how to use the power of Perception, Awareness, and Behavior States to create AI that add to fun game scenarios. You will learn how to create an awareness system that can be adjusted easily to tune the difficulty of enemy encounters. The common AAA development practice of defining predetermined search and patrol areas in-game will also be covered, as will the implementation of AI VO feedback systems and solid debugging techniques to easily read AI stats. An addition of a tactical camera system will even be shown to easily observe your AI in any situation regardless of the game situation. At the conclusion of the course, you will thoroughly understand this AAA approach to enemy encounters in combat and stealth games. Software required: Unreal Engine 4.12
在视频游戏中展示对玩家及其环境的可信反应的敌人角色是良好游戏体验的标志。如何实现这一点，在任何游戏空间的工作方式？在本课程中，使用虚幻引擎中的行为状态创建AI，您将学习如何使用感知，意识和行为状态的力量创建添加到有趣的游戏场景的AI。你将学习如何创建一个意识系统，可以轻松调整调整敌人遭遇的困难。在游戏中定义预定搜索和巡逻区域的常见AAA开发实践也将被覆盖，以及AI VO反馈系统和固体调试技术的实现以容易地读取AI统计。添加一个战术摄像机系统甚至会显示在任何情况下轻松观察你的AI，无论游戏情况。在课程结束时，你将彻底理解这种AAA方法在战斗和隐形游戏中与敌人的遭遇。所需软件：虚幻引擎4.12
|
提升卡
变色卡
千斤顶
更新成你的翻译了