In this project you will be working with a high number of agents to simulate crowd behaviour. You will discover how patterns of movement can be formed from the simpliest of rules that mimic crowd behaviour in the real world. By the end you will have created a crowded city street scene with humanoid characters walking along a pavement and avoiding each other as well as a simulation of a school of fish.

In this project, you will get an introduction to the simulation features of the hair system the Unity Demo Team initially developed for and used in the Enemies demo. It assumes beginner-level Unity editor proficiency and provides a high-level overview of setup and simulation features. This project does not address hair shading and rendering.

In this tutorial students will learn how to add a dangerous obstacle to a crowd simulation and program the agents to flee for a specified amount of time.

In this final tutorial on the GOAP system students will a time based trigger for a nurse and then finalise the little simulation by adding a multitude of nurses.

In this lecture students will learn about the dynamics of crowd behaviour and watch some simple simulations.

This lecture introduces the starter file that will be used for this section. Each part of the game project will be examined with respect to the nav mesh setup, the agents and the simulation about to be created.

In this tutorial you will learn about the fundamental concepts used in the creation of Behaviour Trees. You will also take this knowledge and apply it in Unity by building a simple simulation scenario where a behaviour tree is used to define action sequences of a thief stealing a diamond from a gallery.

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.

In this tutorial students will learn the about the three rules used for simulating flocking and begin setting up a project to create a flocking fish scene. Next, students will program their fish with more flocking mechanisms to get them to follow the simulated rules and keep them confined in a boundary. Finally, students will complete the flocking simulation and add obstacles to the fish tank.

In this tutorial, you'll master the essentials of digital twins, from their foundational concepts to their real-world applications across industries. Then, you'll put theory into action by creating a simple digital twin in Unity, simulating a fire scenario to test emergency responses with AI-driven characters. By the end of this tutorial, you’ll be able to do the following: Define the concept of digital twins and their relevance across various industries. Explain the significance and benefits of utilizing digital twins in different applications. Describe the high-level process of creating an example of a digital twin from start to finish. Create a simple simulation on a digital model to demonstrate the power of real-time 3D technology in the creation of digital twins.