An Introduction to GOAP

Setting up a GOAP Environment

Preplanning the Agent Actions

The World States

Actions

Agents

The GOAP Planner

Executing a Simple Plan

Creating a Multi-step Plan

Adding Agents

Adding More Resources to the World

Implementing the Inventory System

Moving the Nurse

Adding Goal Challenge

Taking a Break

In this project you will learn about the Goal-Orientated Action Planning (GOAP) architecture used to create intelligent agents that can set goals and plan at achieving them.  Unlike Finite State Machines, actions and states are uncoupled, making for a very flexible system.  You will build a GOAP system from the ground up and implement it in a simple hospital simulation.

Goal Driven Behaviour

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AgentVisualiser.zip

S1012Code.zip

Spawning Patients

Plans that Require Multiple Agents

Matching Agents with Agents

S1011.mp4

S1012.mp4

S1013.mp4

In this tutorial students will being building queues to hold game objects as resources that can be used in the planning process.

Games

AI, ML Curricular Framework Resources 

In this lecture students will create a spawner for patients and place it outside the hospital.

In this lecture students will work to create a plan for the nurse that is triggered by a change in world states.

In this lecture students will learn how to assign another game object to the target destination for the nurse so she can move to her patient.

Adding Agents

1. Spawning Patients

2. Plans that Require Multiple Agents

3. Matching Agents with Agents

Complete this tutorial