Artificial intelligence in the gaming industryJanith KankanamalageAbstract· Although one of the fundamental objectives of artificial intelligence is to know and develop intelligent systems with Of all the capabilities of humans, there is very little active research that directly follows this goal. . I tend to propose that AI for interactive computer games constitutes an emerging application space in which this goal of human-level AI can be successfully pursued. Interactive computer games feature increasingly advanced and realistic worlds, as well as increasingly advanced and intelligent computer-controlled characters. I then tend to describe research problems and AI techniques that are relevant to these roles. Our conclusion is that interactive computer games create a rich atmosphere for progressive human-level AI research.Introduction · Reading the articles, I see that the word "intelligent" AI has often been rejected. Say no to plagiarism. Get a tailor-made essay on “Why Violent Video Games Should Not Be Banned”? Get the original essay Once the approach is complete, humans are intelligent because we will adapt to the way we tend to approach problems and adapt to changes. The machines are more linear with an algorithmic program and designed redundancy. they need a set of directions that they can follow based primarily on what they plan to do. we have completely different levels of AI in today's technology and the more we progress we will continue to improve them, we have strong, weak and intermediate AI systems. The main goal is that in the future there will be a "Strong AI" that can rewrite itself and adapt to different situations without the need for anyone to write or add to it. computer software language. “All software incorporates AI through an algorithmic program that responds based on predefined multifaceted input or user behavior.” Artificial intelligence for AI I mainly see the impact. positive that it has had on our society we can see that AI is used daily Some users use it for entertainment functions, such as in video games have difficult AI that can adapt. .I started thinking about it while playing a fighting game against an AI or robot, the robot could move, counter and adapt to my fighting mode. depending on my contribution, or lack of contribution, but it must still function, interact and adapt according to the situation. we can also see a positive impact on the phone using "Apple's personal assistant, Siri", which has been around for many years. Siri can help us find or enter data into our phones. One downside with an AI like Siri is that you simply need to be in a calm environment to be sure that it will understand your commands and help you as intended. This tool is created to help us interact better with technology, rather than providing lots of instructions on what to try and do. He always wants input to provide the answer or action you want. Not a real AI yet, a sort of human baby when he cries. we can guess what they need based on their story, but they can't tell you because they are limited in their communication. Conceptualize and conquer · Given that video games, despite their apparent diversity, largely shareideas, making AI that works on ideas alone should allow developers to use it for multiple games. This raises a very important question but, namely, that of providing a conceptual interpretation of the video game. For AI to handle conceptual objects, it must have access to a conceptual view of game information throughout execution. When humans play a game, they use their ability to abstract to find analogies between that sport and others they have played in the past. In this context, abstraction is a method of eliminating details and extracting options from raw data. By recalling previous examples of an equivalent conceptual case, the experience gained in opposing games is generalized and reshaped into a conceptual policy. Let's say a player could have learned during a role-playing game to use ranged attacks on an enemy while staying out of their range. This behavior is understood as kite flying. Later, in a real-time strategy game, this player might also be faced with an equivalent conceptual scenario with a ranged unit and an enemy. If, at that moment, the idea of ​​kiting is not clearly anchored in the player's mind, he will keep in mind the experience acquired within the RPG and understand that he is faced with the same situation. Management of an entity with a ranged attack and the ability to act and the presence of an enemy. The player can thus conceptualize the technique learned in the RPG and decide to apply it in the real-time strategy game. On the other hand, if the player is aware of the idea of ​​the kite, easy abstraction of the situation can result in the recovery of the conceptual politics related to it, without requiring recall of previous instances and experiences associated and their conceptualization. , that is, an AI that operates entirely on ideas, could be used in video games based on the principle that three needs are satisfied. Some game and AI developers also help develop the conceptual framework. Others only use it. Conceptual questions are listed and organized within the conceptual framework. A conceptual problem can be locked into multiple games. Conceptual framework B is included in video games A, B and C and can have several solutions. AI A and C are two completely different solutions for conceptual framework A. THREE ROLES OF GAME AI Artificial intelligence as an actor · Historically, the first uses of artificial intelligence in computer games were to act as a mediator between users and the game. The AI ​​played the role of an artificial human opponent or teammate, allowing play to be played without requiring people or filling roles that humans would be reluctant to fill in a game. Compared to non-game AI, intelligence designed into games places more emphasis on creating participatory and entertaining experiences for users, instead of maximizing a utility function such as score or win/loss rate. Artificial Intelligence as Designer · The second role of gaming AI is to serve as an intermediary between the human designer (or developer) and therefore the human-machine system composed of the game and the player. In our view, game designers are responsible for constructing and processing a game, analyzing how players interact with the game and processing the game iteratively to achieve a design vision. Artificial Intelligence as a Producer · The third role of the game's AI uses an image of the AI. as a game producer. Like us, producers care about all of the games and..