Goap Agent

What it does

The goap-agent skill enables AI agents to plan and execute actions based on Goal Oriented Action Planning (GOAP). It allows an agent to define goals, available actions with preconditions and effects, and then automatically generate a sequence of actions to achieve the desired goal. This facilitates more complex and adaptive behavior compared to simple reactive systems.

When to use it

• Task Automation: Automate sequences of tasks in a simulated environment or game world where dependencies exist between steps.
• Resource Management: Plan optimal resource gathering strategies based on current availability and required amounts for specific goals.
• Navigation & Exploration: Develop agents that can navigate complex environments by planning routes to achieve exploration objectives.
• Complex Problem Solving: Implement agents capable of solving problems requiring multiple steps and dependencies, such as setting up a manufacturing process or completing a construction project.

Key capabilities

• Goal Oriented Action Planning (GOAP)
• Action Precondition & Effect Definition
• Plan Generation
• Automated Task Execution

Example prompts

• "Agent, your goal is to 'cook_dinner'. What's the plan?"
• "Create a plan for the agent to achieve the state 'house_is_clean'."
• "What actions are available to reach the goal of 'repair_robot'?"

Tips & gotchas

The effectiveness of this skill relies on accurately defining action preconditions and effects. Incorrectly defined rules will lead to failed or suboptimal plans.