AI GamesAI Games
AI Games leverage the power of artificial intelligence to elevate and enrich gaming experiences. By automating repetitive tasks, AI enables game designers to focus on more creative aspects of the design process, such as storytelling, gameplay mechanics and world-building. Learn more :
AI enhances realism by giving non-player characters (NPCs) more human-like behavior. Pathfinding algorithms and behavior trees let NPCs navigate environments and make decisions dynamically. Reinforcement learning enables AI opponents to adapt and learn from player actions, providing a more personalized challenge. Procedural generation lets NPCs appear in a wide variety of environments and situations, creating limitless opportunities for gameplay.
Games as AI Training Environments: Case Studies
Despite the increasing popularity of games based on AI, many developers remain cautious about implementing advanced AI techniques due to their high computational cost and difficulty in testing. This is especially true when developing a game with many NPCs. Fortunately, a number of new technologies are making this possible.
For example, a number of AI engines use blackboards to represent the various behaviours and heuristics that an agent might apply. These are then combined in a weighted sum to produce the overall decision that the agent makes. This approach is particularly useful for complex environments, where a simple pathfinding algorithm might not be enough to get the job done. For example, a simple Arrival steering behaviour might need to be combined with other behaviours such as Separation and Obstacle Avoidance to steer an agent past obstacles. Likewise, Alignment and Cohesion might be required to keep agents moving together to simulate flocking behaviours.…