Unity中AI人工智能初学者技能训练视频教程

本Unity视频教程是由灵感中国社区整理出品的Unity中AI人工智能初学者技能训练视频教程，时长：9小时，大小：3.8 GB，MP4高清视频格式，教程使用软件：Unity，作者：Penny de Byl，共25个章节，语言：英语。

Unity是一款跨平台的游戏开发工具，从一开始就被设计成易于使用的产品。作为一个完全集成的专业级应用，Unity还包含了价值数百万美元的功能强大的游戏引擎。Unity 4作为一个游戏开发工具，它的设计主旨就是让你能够创建令人惊讶的游戏。如果你之前尝试过Unity，请查看Unity 3都做了哪些更新。如果你是第一次尝试，那就好好看看吧，看Unity都能为你带来什么。Unity作为一种开发环境，可让你脱离传统的游戏开发方式，以一种更简单的方式专注于你的游戏开发。开发网络游戏、移动游戏、单机游戏，Unity都能完全胜任。

What you’ll learn
Design and program NPCs with C# in Unity
Explain how AI is applied in computer games
Implement AI related Unity Asset plugins into existing projects
Work with a variety of AI techniques for developing navigation and decision making abilities in NPCs
Requirements
You should be familiar with C# and the Unity Game Development Engine.
Description
Do your non-player characters lack drive and ambition? Are they slow, stupid and constantly banging their heads against the wall? Then this course is for you. Join Penny as she explains, demonstrates and assists you to create your very own NPCs in Unity with C#. All you need is a sound knowledge of Unity, C# and the ability to add two numbers together.
In this course, Penny reveals the most popular AI techniques used for creating believable character behaviour in games using her internationally acclaimed teaching style and knowledge from over 25 years working with games, graphics and having written two award winning books on games AI. Through-out you will follow along with hands-on workshops designed to teach you about the fundamental AI techniques used in today’s games. You’ll join in as NPCs are programmed to chase, patrol, shoot, race, crowd and much more.
Learn how to program and work with:
vectors;
waypoints;
navmeshes;
the A* algorithm;
crowds;
flocks;
animated characters, and
vehicles.
Contents and Overview
The course begins with a detailed examination of vector mathematics that sits at the very heart of programming the movement of NPCs. Following this systems of waypoints will be used to move characters around in an environment before examining the Unity waypoint system for car racing with AI controlled cars. This leads into an investigation of graph theory and the A* algorithm before we apply these principles to developing navmeshes and developing NPCs who can find their way around a game environment. Before an aquarium is programmed complete with autonomous schooling fish, crowds of people will be examined from the recreation of sidewalk traffic to groups of people fleeing from danger. Having examined the differing ways to move NPCs around in a game environment their thinking abilities will be discussed with full explanations and more hands-on workshops in finite state machines and behaviour trees.
The follow-along workshops included in the course come with starter Unity asset files and projects complete with solutions. Throughout there are also quizzes and challenge exercises to reinforce your learning and to guide you to express your new found knowledge.
At the completion of this course you will have gained a broad understanding of what AI is in games, how it works and how you can use it in your own projects. It will equip you with a toolset to examine any of the techniques presented in more depth to take your game environments to the next level.
What students are saying about this course:
This has been my favourite Udemy-Unity course so far. It took me from literally 0% knowledge of how game AI is achieved, and took me to a whole new level. Waypoints, pathfinding, state machines, etc etc etc are all covered in-depth and will reveal the magic (spoiler alert: it isn’t magic) behind making your computer characters seem like they really have a mind of their own.
Oh My God. I love her way of teaching things. I haven’t finished this course yet. But all i can say is that it is another brilliant course from her. Artificial intelligence by itself is a tricky thing to do. And before starting this course i never thought that i will understand anything in it. But i was wrong. With her style of teaching, you will learn how to move your characters in an ”intelligent“ way. This course is perfectly sliced and the pace is wonderful.
Who is the target audience?
Anyone interested in learning how to program their own non-player characters.
Anyone interested in seeing how artificial intelligence is applied in computer games.

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