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Machine Learning Video Games

The Bad Guy in 'Hello Neighbor' Learns from Players' Mistakes

— October 3, 2016 — Tech
Like most video games, in 'Hello Neighbor,' the gameplay gets more difficult as players advance. However, that fact is true in other games because the puzzles get more complex or the villains get stronger as the levels increase -- in 'Hello Neighbor,' it gets harder because the game's primary villain learns how to beat the player.

The horror game's main antagonist, 'The Neighbor,' is programmed with machine learning AI that doesn't just automatically respond based on pre-programmed commands. The Neighbor observes the player's actions, learning where they succeed and where they make mistakes on any given level, and he reacts to that information. This means that, the more one plays, the smarter and harder Hello Neighbor's main villain becomes.
Trend Themes
1. Machine Learning Video Games - Machine learning AI in video games that adapt and learn from players' actions.
2. Intelligent Villains - Video game villains with machine learning AI that observe and react to player behaviors.
3. Adaptive Gameplay - Gameplay that becomes more challenging as players progress due to machine learning algorithms.
Industry Implications
1. Game Development - Opportunity for game developers to incorporate machine learning AI in creating intelligent and adaptable villains.
2. Artificial Intelligence - Utilizing machine learning algorithms to enhance the gaming experience and create more dynamic and reactive gameplay.
3. Virtual Reality - Integration of machine learning AI in virtual reality games to create immersive and challenging experiences with intelligent adversaries.
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