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AI Programming with Finite State Machines in Unity (2016)

AI Programming with Finite State Machines in Unity (2016)

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Description

Using the help of a real-time strategy project example, game developers may master AI Programming with Finite State Machines in Unity. The objective of any effective game AI is complex behavior and decision-making. There are several ways to go about doing this, and one of them is by utilizing a Finite State Machine, which is a type of decision model (FSM).

A state machine is a highly helpful concept that divides the potential states of an agent into “states,” which can “transition” into and out of one another under certain circumstances. Many autonomous decision-making applications, such as AI game programming, leverage this idea. In reality, the state machine idea is used by Unity’s animation controller to represent animation behaviors.

In this tutorial, we’ll show you how to use Unity to construct an FSM-based character AI in a point-and-click real-time tactical combat game.

Enemy characters should be on the alert for the player characters, attacking any who come into their line of sight, pursuing those that flee, and attempting to flee fight themselves when their health drops below a particular point. The course also includes an introduction to the Unity project that will be worked on.

Prerequisites

You should be familiar with C# programming in Unity and the idea of 3D transformations as it is applied in the engine before beginning this course. It might be beneficial if you first study up on the state machine idea, even if it is also covered in the lesson.

It should be mentioned that the Unity Remote 4 software is used to operate the game project in this tutorial, so make sure you have it set up on your smartphone.

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