Crate goap 

A Goal Oriented Action Planning (GOAP) library for Rust.

This library provides a framework for AI agents to plan sequences of actions to achieve desired goals. GOAP is useful for game AI, robotics, and other applications where an agent needs to reason about actions and their effects.

Core Concepts

• State: Represents the current state of the world using typed variables
• Goals: Define desired world states that the agent wants to achieve
• Actions: Operations that can change the world state, with preconditions and effects
• Planner: Uses A* search to find optimal sequences of actions to achieve goals

Modules

actions

Actions module - defines actions that can be performed to change state

goals

Goals module - defines goals that agents want to achieve

planner

Planner module - implements A* search for finding action sequences

prelude

Prelude module - convenient imports for common use cases Convenient imports for common GOAP usage patterns.

state

State module - represents world state using typed variables