آموزش سیستم‌های پیشرفته هوش مصنوعی در بازی با Behaviour Trees

Game AI goes beyond simple scripted actions—it’s about designing intelligent agents that react dynamically to their environment. This course explores behavior trees, a powerful AI architecture used in modern game development. You’ll start by learning the core components, including nodes, sequences, and selectors, and how to implement them effectively to create adaptive AI systems. As you progress, you’ll dive into advanced behaviors such as prioritization, dynamic decision-making, and AI optimization techniques like coroutines. You’ll refine AI logic with inverters, conditions, and repeaters while tackling real-world challenges like agent cooperation, blackboard state integration, and scalable decision-making. Through hands-on exercises, you’ll develop AI that reacts intelligently to its surroundings, enhancing gameplay depth and complexity. By the end of the course, you’ll be equipped with the knowledge to build scalable AI systems that adapt to various gameplay scenarios. With practical challenges, including patrol and escape simulations, you’ll gain experience in designing and refining AI behaviors. Whether you’re working on enemy AI, NPC interactions, or strategic decision-making, this course will help you create intelligent, efficient, and immersive AI solutions.

This course is designed for intermediate to advanced Unity developers looking to enhance their AI programming skills. A basic understanding of Unity, C#, and fundamental AI concepts is recommended. Game developers aiming to create scalable and intelligent AI behaviors will benefit the most.