Advanced AI For Games with Goal-Oriented Action Planning

• 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.

Learn how to program and work with:

• A GOAP Library and API that’s reusable across a wide range of game projects.
• Goals, Actions, States and Beliefs that define the state of the game environment, what individual characters want to do and how they understand their world.
• Navigation Meshes and Agents that provide advanced path planning and navigation capabilities for characters.
• Dynamic Building of NavMeshes to allow for the repositioning of resources in the environment.
• Inventories for each character for use in completing tasks that satisfy character goals.
• The Unity UI system to move draggable resources into a game environment.

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.