Artificial intelligence in the world of modern technology
Until 20 years ago, artificial intelligence technology was considered something surreal. Of course, many filmmakers and scientists considered such an idea, but at that time no one guessed how soon it would become part of modern reality.
Today, AI is used in many areas of life Parimatch tech. The game industry is not exempt from this technology.
Artificial intelligence and computer games
Artificial intelligence technology is an integral part of the computer games industry. Since the first game, users have always wanted to see a computer as a strong and reasonable opponent. This problem can be solved by means of giving computer game agents intellectual abilities similar to those that a human being has. In other words, it is necessary to use specialized artificial intelligence game systems.
Depending on the complexity of the game, a game AI system can be very simple and represent just a set of rules, or it can have rather complicated algorithms of work (for example, if it is necessary to control thousands of armies in the course of the battle). Developers use such basic types when creating a game:
- Rule-based system
One of the simplest forms of game artificial intelligence is a rule-based system, in which the behavior of game agents is determined by predetermined algorithms. Such systems are the furthest from the traditional concept of artificial intelligence. Rules can be set rigidly (e.g., a game agent always turns in one direction) or based on analysis of the current state of objects (e.g., a game agent always moves behind a player).
- Finite automata.
Finite automata are used to create game agents, which can have a different (finite) number of states during the game. As such states can be set the physical conditions in which the object is located, its emotions, etc. These states can change depending on game conditions.
- Adaptive Artificial Intelligence
In order to diversify the game and create a stronger and more dynamic opponent, developers need to give game agents the ability to evolve, adapt and adapt. Such a rule is actively used in combat and strategy games, which have complex mechanics and provide a large number of diverse opportunities for game agents.
Adaptive artificial intelligence must have a fairly important property – the ability to predict the next move of the opponent. To do this, various methods can be used (revealing the pattern of the player’s past moves, using random guesses, etc.).
A little bit about Elon Musk and Dota 2
Artificial intelligence has been associated with the gaming industry since the first computer games. For example, users of old versions of the operating system Windows could compete with AI in a game of chess. Soon the AI learned to beat humans in games such as Go. But more recently there has been a breakthrough in the AI video game industry. Artificial Intelligence was able to win the game Dota 2.
Dota 2 is a popular game that has already become a cyber-sports discipline. The game is not just popular among users, it is staged real professional tournaments, and the best players earn millions of dollars.
Many people have heard about Elon Musk’s Open AI project. The developers of this technology managed to create artificial intelligence capable of beating a professional player in Dota. The interesting thing is that the bot was not completely programmed by game strategy. Rather, the developers used deep learning technology. The computer received only basic strategy data.
Why do many developers invest in game AI?
Artificial intelligence technology is very promising. That is why many large technology companies are interested in it.
First of all, it is related to the rapid development of cybersports. Investments in the development of this industry can bring many benefits in the future.
In addition, AI that understands game strategies may be useful in other industries in the future, such as medicine or science.