5 Ways Machine Learning Improves the Gaming Experience

Machine learning is a revolutionary development for almost every single industry, yet the gaming industry still hasn’t fully utilized it. But machine learning offers almost unlimited untapped potential. By using algorithms and statistical models, machine learning analyzes and draws inferences from patterns within data; it can then learn and adapt without needing explicit programming to do so.

By integrating machine learning algorithms into the gaming experience, you can create a unique, dynamic experience with gameplay and environments that weren’t previously possible. Traditionally, many contemporary video games are fully hand-scripted. However, if a game were to incorporate a machine learning engine, the player would be able to explore gameplay that reacts and changes in real-time based on their actions and decisions.

The gaming industry is booming with new competitors coming out of the woodwork each and every day. Machine learning is the extra boost that can help you stand out from the competition and excite players beyond their expectations. Read on to discover five ways that machine learning can improve the gaming experience.

1. Algorithms acting as non-playable characters (NPCs)

Currently, almost all NPCs in video games are pre-scripted, which means they can’t change or evolve as each player makes different decisions. Instead, they follow a predetermined set of options based on character choices. However, with machine learning, your NPC can become less predictable and more engaging with your users.

For example, machine learning offers the ability to adjust NPC foes to match each user’s skill level based on how they play. As the player progresses and learns, so could your NPCs, creating one-of-a-kind player experiences. This also allows NPCs to adapt to a player’s style, so they won’t be too easy or too difficult and prevent the user from losing interest in gameplay.

2. Potentially unlimited world creation

Some of the most exciting and popular video games in the industry are those with open and expansive maps that allow players to explore beyond a few constrained settings. Those types of games require hours of programming to allow for such extensive world creation.

Machine learning can solve that problem. With machine learning algorithms, game creators don’t have to do all of the work — instead, an infinite number of new lands and worlds can be generated on the fly as the player explores the game.

3. Create an improved user experience

Machine learning can utilize each player’s behavioral data and statistics to personalize the game. This type of advanced personalization within the gaming environment could drastically improve player engagement, retention and attraction.

Furthermore, this type of gameplay would have the benefit of increased realism as the world, plot, characters and difficulties would adapt to the needs of each player — rather than following a preset script.

4. Modeling complex systems

Most video game developers work incredibly hard to create games that are immersive and compelling. Machine learning can help carry some of this burden due to its immense capability to model complex systems.

In fact, machine learning could assist with difficult world modeling, including predicting the downstream effects of player choices or controlling unpredictable game factors, like character chemistry and morale.

5. High-quality image rendering

Machine learning not only helps build out the content, character and storytelling aspects of games — it can also improve the actual image quality. In many video games, items and landscapes may appear nice from a distance, but when the player inspects more closely, these objects lose their quality and can become pixelated.

With machine learning, your image rendering capabilities can be vastly improved as algorithms enhance the finer details of images as players move closer to objects. High-quality image rendering can become less of a challenge and more of a fundamental given with the help of machine learning algorithms.

Want to learn more? Discover how NLevel Software uses machine learning and AI to drive success in your business

NLevel Software offers fully-managed Machine Learning software designed to give you and your team complete access to real-time big data analytics. Our Machine Learning is powered by real-time intervention APIS, monitoring and dashboards to help our clients act on user data as its analyzed.