Facts about Artificial Intelligence in Gaming
- 05
Behavior trees replaced finite state machines as the dominant architecture for game AI in many modern titles, offering more modular and scalable character decision-making.
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Monte Carlo Tree Search, a probabilistic AI technique, was central to DeepMind's AlphaGo defeating human Go champions, a game long considered too complex for traditional game AI approaches.
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Finite state machines are a foundational technique in game AI, allowing non-player characters to switch between defined behavioral states such as patrolling, chasing, or fleeing.
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Pathfinding algorithms, particularly A* (A-star), are widely used in game AI to calculate efficient movement routes for non-player characters through game environments.
- 01
The chess-playing program Deep Blue, developed by IBM, defeated world champion Garry Kasparov in 1997, marking a landmark moment for AI in gaming.