The immense technological development has revolutionized many modern industries. The increasing rate of digitization makes many products and services more accessible, convenient and faster. A good example of profit technology is the financial industry, which has completely changed in the recent decade. Fintech companies are now more widespread than ever and digital banking services and platforms are offered by almost every major bank around the world.
However, perhaps the industry that has seen the greatest impact of the evolving pace of technological progress is the one that is directly related to the sector. Gaming has been reestablished since it was released for the legendary time video games of the 1980s, which include more characters, first-person modes, wider worlds and, in general, more realistic and Are enjoyable to play.
Video games can today be enjoyed by billions for the development of suitable hardware devices, which are more accessible and affordable than ever before. The widespread proliferation of the Internet has led to a growing number of multiplayer and massively multiplayer games. Such games are played by more and more people at a time.
However, other types of games, as well as multiplayer-using artificial intelligence, make them more challenging or sometimes more realistic. When AI technology is mentioned, the absolute majority of people immediately think of full-scale human-like creatures, robots that can decide for themselves. However, the truth is that AI technology is already widely used in many fields, including gaming, and current successes are expected to enhance the player experience even more.
Artificial Intelligence in games – pushing the boundaries
As mentioned above, AI is rarely under-represented and acknowledged that it is indeed technology. It has long been in many different ways and fields. Alan Turing, a prominent WW2 mathematician and computer pioneer, is known for laying the groundwork for AI technology, which was even before the technology came into existence.
The first phase of AI development in the context of gaming was when developers and scientists in the field decided to make computer play chess. Once incredibly true, IBM’s dark blue won the game of chess with Gary Kasparov, a chess world champion and a grandmaster in 1997. It was truly revolutionary, heralding the rise of AI technology in gaming.
Early games such as Pacman also used weaker, less developed AI systems. They were quickly followed by several new video games, utilizing the maximum potential of artificial intelligence in gaming.
Thanks to machine learning, which aims to study algorithms used for AI development, new possibilities arise daily. Nowadays almost every game comes with a feature that requires the use of AI. We all have bots in video game, non-player characters (NPCs), which are often not hard to defeat.
Every kind of game can use NPCs, from shooters to tactics and simulators. For example, the most popular multiplayer online Battle Arena game, League of Legends (LOL) uses AI technology in some ways. First, newly registered users are given the opportunity to practice with non-player characters, called bots. They are designed to behave just like any other player and come with different difficulty levels. They are fun to play against, however, their current stage of development is still not as sophisticated as pro gamers would like them to be.
Other uses that many other games often find are helping non-player characters or units. There are minors in League of Legends. They are automatically born bots that help in the fight against the opposing team. However, their pattern of behavior is simple, reducing the role they play in the game.
This is just one example of how games make the most of current AI technology. Other popular games, such as Counter-Strike and Alike. However, the issue of their development remains there.
Another industry that is beginning to use AI more and more often is gambling. Numerous national legislations are being liberalized to accommodate gambling, with online casinos popping up in almost every corner of the world. Australians are at the forefront of AI usage in the slot game industry on online gambling platforms. This is mainly due to the fact that Australia is one of the fastest growing gambling industries in the world. Other countries are also slowly starting to incorporate AI into gambling, making it more challenging.
Before it reached the gambling industry, AI was present in some of the simplest video games. Everyone remembers Microsoft Solitaire, but many people don’t realize that AI is used to play card games both online and offline. In fact, such games are often used as a testing ground for research and development.
What is the future of AI in gaming?
We know that what has been described above may not be the perception of many people about artificial intelligence. People expect a lot more than just the ‘pre-planned’ pattern of just a glance at older video games. Popular culture, Hollywood films, and the mainstream media have created an exaggerated picture of the development of artificial intelligence, it is appropriate.
However, imagining the future may not be that far away. The main factor missing from what we have now is the ability to learn and develop. Self-learning is the answer to the future of AI gaming. It is capable of learning and developing technology from the same point it is built. It uses data and information received throughout its existence and does not require any additional instructions.
Many expect that today we will completely change the way we play video games. The ability to evolve will make game bots more challenging than ever, potentially competing with multiplayer games. The overall experience will be more realistic, with more possibilities for both gamers and developers.
Some possibilities of future AI technology are even rarer. Matthew Guzdial, an AI researcher and assistant professor at the University of Alberta, says that self-learning AI can change not only sports but also the process of their development. He says that gaming software is the best place to test innovation in AI. This provides a safe, easily viewable place to try new findings. He says that research is on the way to helping learn oneself, a game of developing AI or redeveloping itself, without any training, using only information derived from the original files. This is entirely possible and may not even be far away. Guzdial also said that AI would still not replace human game developers as it would only better accommodate the gaming experience for individual players.