How Video Game Bots Actually Think

How do video game bots actually make decisions? From Pac-Man's four-state ghosts to OpenAI's neural network that played 180 years of Dota 2 every day — this is the complete breakdown of game AI.Every frame, bots have roughly 2 milliseconds to perceive the world, make a decision, and act. The techniques developers use range from simple finite state machines to behavior trees, Goal-Oriented Action Planning (GOAP), Utility AI, and even deep reinforcement learning. In this video, we explore how it all works. Generate Videos Like This: Outscal Video Generator: https://ai.outscal.com/ Disclaimer: We use AI only for the visual avatar and voice to bring the ideas to life. So don’t worry becasue everything you’re watching is made by us, just delivered with a digital face! 📚 GAMES & SYSTEMS MENTIONED Pac-Man — Finite State Machines Halo 2 — Behavior Trees (Damian Isla) F.E.A.R. — GOAP (Jeff Orkin) The Sims — Utility AI Dota 2 — OpenAI Five StarCraft 2 — DeepMind AlphaStar Halo Infinite — Utility AI + Lua Scripting Left 4 Dead — AI Director Rocket League & Fortnite — Bot Takeover Systems 🔗 RESOURCES & FURTHER READING GDC Vault — "Three States and a Plan: The AI of F.E.A.R." Damian Isla's Behavior Tree talks OpenAI Five research paper DeepMind AlphaStar blog post #GameAI #GameDev #ArtificialIntelligence #HowGamesWork #BehaviorTrees #OpenAI #GameDesign #IndieGameDev #Programming #MachineLearning