Advanced AI For Games with Goal-Oriented Action Planning

Artificial Intelligence for Creating Complex Game Character Behaviours for Simulations, Real-Time Strategy Games & More

Created by Penny de Byl | 8 hours on-demand video 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 code base 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.

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.

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