Advanced AI For Games with Goal-Oriented Action Planning
Udemy Coupon Code Advanced AI For Games with Goal-Oriented Action Planning Course
Artificial Intelligence for Creating Complex Game Character Behaviours for Simulations, Real-Time Strategy Games & More
Created by Penny de Byl and Penny Holistic3D | 8 hours on-demand video | 33 downloadable resources | 7,308 students | Avg Rating: 4.5 (619 ratings)
What you’ll learn
- How to design and program more intelligent behaving Non-Player Characters with C#.
- How goals, states, actions, believes and path-planning can be applied in computer games.
- The finer workings of a Goal-Oriented Action Planning (GOAP) library and building one from scratch.
- How to develop and debug your own simulations.
Advanced AI For Games with Goal-Oriented Action Planning Course
Goal-Oriented Action Planning (GOAP) is an AI architecture that provides game characters with the ability to select goals and make plans to achieve those goals based on the state of the environment and available resources. It can be used across a wide range of game genres from first-person shooters to real-time strategies, to develop intelligent characters capable of making smart decisions without the need for large finite state machines. The codebase is deceptively simple and yet logical, reusable and extremely powerful. The library is written in C# and implemented in Unity V.2019, however will easily port to other applications.
In this Advanced AI For Games with Goal-Oriented Action Planning Online Course, Penny demystifies the advanced AI technique of GOAP used for creating believable and intelligent game characters 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. Throughout, you will follow along with hands-on workshops designed to take you through every step of putting together your own GOAP API. You will build the entire GOAP library from the ground up while building a hospital simulation scenario in parallel, to test the API as you go.
Advanced AI For Games with Goal-Oriented Action Planning Coupon Code
Mathematics for Computer Games Development using Unity
Shader Development from Scratch for Unity with Cg
Who this course is for:
- Anyone interested in learning how to better program their own non-player characters (NPCs) for believable behaviour.
- Anyone wanting to learn the advanced AI technique of GOAP to control their sims.
- Anyone interested in seeing how artificial intelligence is applied in computer games.
