Learn Advanced AI for Games with Behaviour Trees
Learn Advanced AI for Games with Behaviour Trees, available at $84.99, has an average rating of 4.62, with 47 lectures, based on 281 reviews, and has 4978 subscribers.
You will learn about Students will learn the theory of behaviour tree design. Students will learn how to develop a behaviour tree API in C# Students will learn how to use behaviour trees to define the actions of non-player characters. This course is ideal for individuals who are Intermediate game development students wanting to extend their knowledge of artificial intelligence techniques used in games. It is particularly useful for Intermediate game development students wanting to extend their knowledge of artificial intelligence techniques used in games.
Enroll now: Learn Advanced AI for Games with Behaviour Trees
Summary
Title: Learn Advanced AI for Games with Behaviour Trees
Price: $84.99
Average Rating: 4.62
Number of Lectures: 47
Number of Published Lectures: 47
Number of Curriculum Items: 47
Number of Published Curriculum Objects: 47
Original Price: $49.99
Quality Status: approved
Status: Live
What You Will Learn
- Students will learn the theory of behaviour tree design.
- Students will learn how to develop a behaviour tree API in C#
- Students will learn how to use behaviour trees to define the actions of non-player characters.
Who Should Attend
- Intermediate game development students wanting to extend their knowledge of artificial intelligence techniques used in games.
Target Audiences
- Intermediate game development students wanting to extend their knowledge of artificial intelligence techniques used in games.
Behaviour Trees (BTs)are an A.I. architecture that provide game characters with the ability to select behaviours and carry them out, through a tree-like architecture that defines simple but powerful logic operations. It can be used across a wide range of game genres from first-person shooters to real-time strategies and developing intelligent characters capable of making smart decisions. The codebase is deceptively simple and yet logical, reusable and extremely powerful. The library is written in C#and implemented in Unity 2020,however will easily port to other applications.
In this course, Penny demystifies the advanced A.I. technique of BTs used for creating believable and intelligent game characters in games, using her internationally acclaimed teaching style and knowledge from almost 30 years working with games, graphics, and having written two award-winning books on games AI. Throughout, you will follow along with hands-on workshops designed to take you through every step of putting together your own BT API. You will build the entire BT library from the ground up, while building an art gallery simulation scenario in parallel, to test the API as you go.
Learn how to program and work with:
-
A Behaviour Tree Library and API that’s reusable across a wide range of game projects.
-
Tree architectures, nodes, leaves, sequences, and selectors that define the behaviour of individual non-player characters (NPCs).
-
Navigation Meshes and Agents that provide advanced path planning and navigation capabilities for characters.
-
A Blackboard System that acts as a global inventory for world states and allows characters to communicate with each other.
Contents and Overview
Throughout the course, you will follow along while a BT library and API are constructed from the ground up, to allow you intimate knowledge of the codebase. Alongside this, a simple art gallery simulation will be constructed to test out the functionality of the library as it is put together. The simulation will also rely on Unity’s NavMesh System for navigation and path planning.
The course begins with an overview of Behaviour Trees and covers all the fundamental elements (including trees, nodes, leaves, sequences, selectors, and other logical constructs). Code will be developed to navigate the Behaviour Tree and used to drive non-player characters in the art gallery including a robber, cop, visitors and workers. Throughout this, students will gain a solid knowledge of how Behaviour Trees are constructed and can be traversed, to apply actions to game characters.
At the completion of this course, students will have a fully-fledged BT library and API that they can reuse in their own game projects, to provide game characters with complex intelligent behaviours.
What students are saying about Penny’s courses:
-
Turns out, the hardest part of this course for me is finding the words to describe how glad I am to have enrolled in it.
-
I honestly love Hollistic’s teaching approach and I’ve never learned so much within a few hours about coding effectively with such detailed explanations!
-
Penny is an excellent instructor and she does a great job of breaking down complex concepts into smaller, easy-to-understand topics.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Course Overview
Lecture 2: Join the H3D Student Community
Lecture 3: Contacting H3D
Lecture 4: FAQs
Chapter 2: Behaviour Tree Concepts
Lecture 1: Introducing Behaviour Trees
Lecture 2: Nodes
Lecture 3: Tree Printing
Lecture 4: Leaf and Action Nodes
Lecture 5: NavMesh Movement
Lecture 6: Sequences
Lecture 7: Selectors
Lecture 8: Extending Action Methods
Lecture 9: Conditions
Chapter 3: Advanced Behaviours
Lecture 1: Inverters
Lecture 2: A Generic Agent Class
Lecture 3: Optimising with Coroutines
Lecture 4: Repeating Tasks
Lecture 5: Ensuring Node Status Return True States of GameObjects
Lecture 6: A Prioritising Selector
Lecture 7: Dynamically Changing Node Priorities
Lecture 8: Random Selector Challenge
Lecture 9: Shuffle and Sort Once
Chapter 4: Refactoring for Scalability
Lecture 1: Dealing with Arrays of Choice
Lecture 2: Traditional AI: Fleeing Part 1
Lecture 3: Traditional AI: Fleeing Part 2
Lecture 4: Building A Complex Behaviour Tree
Lecture 5: Cancelling Sequences with Conditions
Lecture 6: Abandoning Sequences
Lecture 7: Adding Co-dependancy Challenge
Lecture 8: Fallback Behaviours
Chapter 5: Adding New Agent Challenge
Lecture 1: Art Lovers
Lecture 2: Art Lovers Behaviour
Lecture 3: A Coroutine to Effect Agent Properties
Lecture 4: The Loop Decorator Node
Chapter 6: Environmental Factors
Lecture 1: Blackboards
Lecture 2: Integrating Blackboard State Challenge
Lecture 3: Not Daylight Robbery
Lecture 4: Agent Cooperation
Lecture 5: Interacting Agents
Lecture 6: Assigning Individual Agents to Work with Each Other
Lecture 7: Thinking like a Behaviour Tree
Lecture 8: Remember to Add Dependencies
Chapter 7: Final Challenge
Lecture 1: Cop Patrol Challenge
Lecture 2: Cop & Robber Challenge
Chapter 8: Final Words
Lecture 1: Debugging a Behaviour Tree
Lecture 2: Some Final Words from Penny
Lecture 3: Where Do I Go From Here?
Instructors
-
Penny de Byl
International Award Winning Professor & Best Selling Author -
Penny Holistic3D
Academic, Author & Game Development Enthusiast
Rating Distribution
- 1 stars: 2 votes
- 2 stars: 7 votes
- 3 stars: 19 votes
- 4 stars: 82 votes
- 5 stars: 171 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
You may also like
- Top 10 Video Editing Courses to Learn in November 2024
- Top 10 Music Production Courses to Learn in November 2024
- Top 10 Animation Courses to Learn in November 2024
- Top 10 Digital Illustration Courses to Learn in November 2024
- Top 10 Renewable Energy Courses to Learn in November 2024
- Top 10 Sustainable Living Courses to Learn in November 2024
- Top 10 Ethical AI Courses to Learn in November 2024
- Top 10 Cybersecurity Fundamentals Courses to Learn in November 2024
- Top 10 Smart Home Technology Courses to Learn in November 2024
- Top 10 Holistic Health Courses to Learn in November 2024
- Top 10 Nutrition And Diet Planning Courses to Learn in November 2024
- Top 10 Yoga Instruction Courses to Learn in November 2024
- Top 10 Stress Management Courses to Learn in November 2024
- Top 10 Mindfulness Meditation Courses to Learn in November 2024
- Top 10 Life Coaching Courses to Learn in November 2024
- Top 10 Career Development Courses to Learn in November 2024
- Top 10 Relationship Building Courses to Learn in November 2024
- Top 10 Parenting Skills Courses to Learn in November 2024
- Top 10 Home Improvement Courses to Learn in November 2024
- Top 10 Gardening Courses to Learn in November 2024