For a more performant, stable and fully featured solution check out our latest asset:

Modular-AI

Modular AI is an inspector based visual behaviour designer.

Features:

Implements competing utility theory behaviours for dynamic AI behaviours.
Zero string comparisons or calls to reflection.
Behaviours can be fully configured during runtime.
Not tied to a specific pathfinding solution.
Fully extendable via code modules.

Built-in Modules:

Unity Pathfinding:

Flee/Follow
Wander
Patrol

Memory:

Remember players, AI agents, or environment objects.
Focus/target objects in memory
Invoke custom events.

Sensors:

Eye-level scans
Physics Scan Options for 2D & 3D
Integrated with memory

Animation:

Idle, Walk, Run & Jump
Attack, Death Animations
Dynamic Hit reactions

Getting Started:

All components can be found under Kitbashery in the component menu:

Online documentation & scripting API is found at:

https://kitbashery.com/docs/modular-ai

Utility Theory:

Modular AI uses utility theory for its AI behaviour logic. An AI agent can have as many behaviours as you want.

Note: Since v.2.0.2 Modular AI supports linear state-machine-like evaluation by default with optional competing utility theory behaviours.

Behaviours:

Behaviours are comprised of conditions and actions and have a score value. The behaviour with the score that best meets the score type you set will execute its actions.

Conditions:

Conditions are true/false statements based on what the AI knows about the game world. If a condition meets its desired state then it will add its score to the behaviour's total score.

Actions:

Actions are executed in the order they are arranged if a behaviour's total score meets the score type better than any other behaviour.

Module Scripting:

Take a look at the docs for ExampleModule.cs for how to create your own modules.

Kitbashery / Modular-AI

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