92 Jeeto Game uses a variety of algorithms to make non-player characters behave in more realistic and human ways. For example, game AI can use reinforcement learning to observe a player’s behavior over time and construct narrative branches and challenges that match their playing style and personality in nuanced ways. AI games are designed to give players a personalized experience and increase their enjoyment and emotional investment in the game.

Rule-Based AI

Game developers program the AI of non-player characters to act in a specific way based on predetermined rules. For example, if an NPC sees the player they might react in a stealthy or aggressive manner. Other examples of rule-based AI include setting markers that cause NPCs to take action at certain points in a fight or finding cover in combat if they notice they are low on bullets.

Reinforcement Learning

Game AI can also be used to improve the performance of NPCs through a trial and error process. For example, if an NPC makes a poor decision and dies it can learn from this experience and try a different approach the next time.

Generative AI

Generative AI (gen AI) is the latest evolution of gaming AI, creating a gaming environment that adapts and evolves with each playthrough. This kind of generative AI is a bit like the Rogerian therapist-player relationship simulation ELIZA, which taught itself to respond to users by rephrasing their sentences. There are a few generative AI games available to play today, including Cygnus Enterprises and Origins.