Machine Learning, a part of Artificial Intelligence, has been defined as a tool that enables systems to automatically learn and improve based on experience, instead of being programmed to do so. The key element in this phenomenon is analyzing the data available and delivering the output without any explicit computer programs/software. This is accomplished with the help of computer algorithms which are enhanced automatically over time.
Machine Learning has taken over the tech world in a major way, and the gaming industry has also made the most of it in the past few years. The process of game development has been impacted owing to its rise. So, how is it that this part of AI technology affects games as a whole? Let us see in the following lines.
The influence of Machine Learning on gaming technology
- Making mobile games more engaging
Mobile games are the most popular when it comes to gaming and has taken over 51% of the overall market share as far as players are concerned. Since they are more portable than consoles, mobile games have topped the popularity charts when compared to other tools for gaming.
There are hundreds of thousands of such games and integrating Machine Learning into mobile games development gives a unique experience to the player, by making it more engaging. Since the new mobile devices are including AI chips in them, the processing power of the hardware is augmented, giving rise to an more immersive experience to the players.
- Enhanced NPCs
Non-playable-characters or NPCs are quite significant features in gaming. The way they react to a player’s action during gameplay is already defined during game development. However, when the same is integrated with Machine Learning, the reactions cannot be predicted. For example, if the player has mastered a certain combat game, the gameplay automatically becomes more challenging and the NPCs respond in a novel manner as compared to before.
- Interactive gameplay
NPCs have become more interactive and these virtual interactions are not mundane. Since they are unscripted, the players get more engrossed in the games as their conversations/actions appear realistic.
- A more dynamic environment
The environment in which the gameplay happens is more dynamic. Since they are at their creative best owing to game Artificial Intelligence, players are transported to a unique and attractive world. Machine Learning makes it easier for developers to come up with such alternative worlds without much effort and these are meant to keep up the interest of the gamers on any given day.
- Development of games based on data
As mentioned earlier, Artificial Intelligence is all about data. Using this, the algorithms are able to deduce the behavior patterns of players over a period of time. Data driven game development produces the best games that are interactive. The outputs are more dynamic since they are based on previous data and since all this happens without any need for human intervention, there are no delays of any kind. Each player will be able to experience unique gameplay with enhanced game designs.
- Improved/Decreased response time
Based on the data collected, the response time decreases in the gameplay. The dynamic processing capabilities make this happen. There is no delay in getting a reaction to a player’s particular action and this gives rise to a better gaming experience. Since the outputs are faster, players are always on their feet as they cannot predict the reaction and will be more immersed in the game. It is more like a customized response time that depends on how good a player is in the said gameplay.
Machine Learning is a huge part of game development trends
Machine Learning is a major contributor to creating engrossing games in design as well as development perspectives. Whether it is the NPCs or the output results, this application has been recognized by video, mobile and console game developers. Generating responsive and faster outputs that are relevant to the players’ actions are unique and offer an experience that cannot be replaced.
The fact that Machine Learning is able to create an undeniably realistic experience for players of all ages is one of the major reasons for its wide usage. Since the tool is self-learning and does not require any specific programming, it is being implemented successfully in different types of games. The future of the gaming industry lies in how well game developers are able to adapt to the AI Technology as a whole, and Machine Learning in particular.