Utility AI - Smart NPCs, Enemies & Living Worlds (Wise Feline Ultimate)

Wise Feline is a utility AI, influence maps, memory, emotion and smart objects system which allows you to make immersive AI for any type of game which can benefit from smart NPCs with immersive behavior.

Contains all other packages: Influence Maps, Smart Objects, Remembrance Memory & Emotions, and priceless additional features compared to free Utility AI like different selection mechanisms, priority and score deltas. Still contains all features of BlackBoards and data recorder visual debugger.

Wise Feline make your NPCs the unique selling point of your game by making them interesting, different and unique. It allows you to easily have many actions and choose intuitive things to do which surprise players. It will make it possible to make the game you always dreamed off easier. You'll make interesting content with a fraction of the speed of others and fill the world of your game with different types of NPCs and agents which have their own lifes and goals and react to situations in a non-scripted manner which delights the players.

With Wise Feline you don't need to create huge and hard to follow state machines and behavior trees and instead you can give all of your actions a scoring mechanism which tells the system how important each action is at a moment in time. Because all actions are considered all the time, your AI will never be out of good options and it chooses the best action for the situation in a pretty intuitive way. You can group your actions based on priorities and use different selection algorithms for finding the best action.

You can use the combination of AI tags, influence maps and smart objects to have a great knowledge base about the world which agents can use to interact with it in smart ways.

Wise Feline is high performance and uses burst for influence maps (optional).

Your designers no longer have to add specific transitions in state machines or conditions and nodes in behavior trees. By tweaking importance and utility of actions relative to each other in a utility AI system, they can easily change the behavior of the agents in an intuitive way and check why something behaves the way it does in the visual debugger.