AI Games

Jalwa Win are based on real-world applications of artificial intelligence and use game design to teach about complex topics. Using advanced algorithms to enhance realism, AI allows players to interact with intelligent NPCs and challenging opponents. Reinforcement learning enables AI to adapt and learn from player actions, providing a personalized challenge. Procedural generation ensures limitless, unique content by algorithmically generating levels, characters, and missions. AI is expanding the boundaries of gaming in ways never thought possible.

Developed by Creative Assembly and ported to mobile by Feral Interactive, this sci-fi horror game immerses you in a terrifying fight for survival. The game’s eerily realistic visuals and unpredictable alien enemies that react to your movements, ensure no two encounters are the same. The game also incorporates advanced weapons and slow-motion effects to heighten the tension.

Can AI Personalize Game Difficulty on the Fly?

The gameplay in this action-adventure science fiction video game uses a mixture of adventure, simulation, RPG, and puzzle-solving elements. In the game you take on the role of an astronaut tasked with investigating the disappearance of another crew member aboard a space station. The AI that runs the robots and droids on the colony is a combination of traditional game AI with pathfinding algorithms, behaviour trees, and reinforcement learning.

Game developers have traditionally been a little wary of using nondeterministic AI, as it can be difficult to test and debug. But that is changing with the introduction of advanced learning techniques like reinforcement learning. Combining this with generative AI that takes speech and generates body gestures can produce NPCs that are more natural, less predictable, and more interesting than traditional pre-scripted games.