Summary - AI

Reinforce AI usage with a summary task.

Summary: Game AI Architecture

In this group, you explored the twin pillars of game artificial intelligence: the physical navigation layer provided by NavMesh and NavMeshAgent, and the behavioral layer steered by FSM and Behavior Trees.

// Decision system picks target, Agent traverses path
if (currentState == EnemyState.Chase) {
    agent.SetDestination(player.position);
}

Coupling robust decision logic with smooth pathfinding results in convincing and challenging enemy encounters.

Exercise AI system integration

Define a Start method. Inside, declare string durum = "AI sistemi devrede"; and print it to the console with Debug.Log(durum);.

Show example solution

using UnityEngine;

public class AiSummaryTester : MonoBehaviour
{
    void Start()
    {
        string durum = "AI sistemi devrede";
        Debug.Log(durum);
    }
}

Test yourself

Which two systems are respectively responsible for decision-making and spatial pathfinding in an AI enemy character?
- TextMeshPro and Canvas Scaler
- AudioSource and Shader Graph
- FSM / Behavior Tree and NavMesh / NavMeshAgent
- PlayerPrefs and JsonUtility
Show answer

FSM / Behavior Tree and NavMesh / NavMeshAgent — Decisions are dictated by FSM or Behavior Trees, while physical locomotion across geometry is executed by NavMesh and NavMeshAgent.

Active path check

if (agent.____) { CheckArrival(); }

Show answer

if (agent.hasPath) { CheckArrival(); }

AI architecture summary

NavMesh

Walkable surface geometry
NavMeshAgent

AI agent traversing the path
Behavior Tree

Hierarchical decision tree
FSM

State-to-state transition machine

Next lesson: What is procedural?

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