Artificial intelligence in the gaming industryJanith KankanamalageAbstract· Although one of the fundamental goals of artificial intelligence is to understand and develop intelligent systems that have all human capabilities, there is very little active research that directly follows this objective. I tend to propose that AI for interactive computer games is an emerging application space within which this goal of human-level AI can be successfully pursued. Interactive computer games have increasingly advanced and realistic worlds and increasingly advanced and intelligent computer-controlled characters. I therefore tend to describe the research problems and AI techniques relevant to such roles. Our conclusion is that interactive computer games offer a rich atmosphere for incremental human-level AI research. Introduction · As I read the articles I see that the word "artificial intelligence" has often been thrown away. Say no to plagiarism. Get a tailor-made essay on "Why Violent Video Games Shouldn't Be Banned"? Get Original Essay Once the approach arrives, its humans are intelligent because we will adapt in the way we tend to approach problems and adapt to changes. Machines are more linear with some algorithmic programs and redundancy designed it. they need a set of directions that they can do based on what they have planned to do. we have completely different levels of AI in today's technology and even the more we advance 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 artificial intelligence” that can rewrite itself and adapt to different situations without the need for someone to write or add to the computer software language. “Any software incorporates artificial intelligence thanks to an algorithmic program that responds based on predefined multifaceted inputs or user behavior." artificial intelligence for artificial intelligence I mainly see the positive impact it has had on our society. we can see that artificial intelligence has been used daily. Some users use it for entertainment functions, like in video games. Video games have a difficult AI that can adapt. I started to consider this while playing a fighting game against an AI or a bot, the bot could move , counter and adapt to my fighting fashion. Again, it simply responds based on my input or lack of input, however it still has to run, interact and adapt based on the situation. we can also see a positive impact on the phone by 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 AI like Siri is that you simply have to be in a quiet environment to be sure it will perceive your commands and help you as expected. This tool was created to help us interact better with technology, rather than giving us lots of instructions on what to try to do. It still requires input to provide the desired response or action. Not a real AI yet, kind of like a human baby when it cries. we can guess what they need based on their history, however they can't tell you because they are limited in their communication. Conceptualize and conquer · Because video games, despite their apparent diversity, sharelargely ideas, it is necessary for artificial intelligence to operate on ideas alone. allow developers to use it for more games. This raises a very important issue, namely that of providing a conceptual interpretation of video games. In order for the AI ​​to handle conceptual objects, it should have access to a conceptual view of the game information during runtime. when humans play, they use their faculty of abstraction to find analogies between the sport and others they have played in the past. Abstraction in this context is a method of discarding details and extracting options from raw data. By recalling previous examples of an equivalent conceptual case, the experience gained from opposing games is generalized and reshaped into a conceptual policy. say, a player may have learned during role-playing to use ranged attacks against an enemy while staying out of its range. This behavior is intended as kitesurfing. Later, in a real-time strategy game, that player might also be faced with an equivalent conceptual scenario with a ranged unit and an enemy. If, at that point, the idea of ​​kiting is not clearly rooted in the player's mind, he will keep in mind the experience gained within the role-playing game and understand that he is facing 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 role-playing game and decide to apply it in the real-time strategy game. On the other hand, if the player is aware of the idea of ​​kiting, an easy abstraction of the situation can lead to the recovery of the conceptual politics related to it, while not requiring the recall of previous instances and associated experiences and their conceptualization. Conceptual AI, or artificial intelligence that runs entirely on ideas, could be used in video games provided three needs are met. Some game and AI developers also help develop the conceptual framework. Others just use it. conceptual issues are listed and organized within the conceptual framework. A conceptual problem can be contained in multiple games. Conceptual Framework B is included in video games A, B and C and can have multiple solutions. AI A and C are two completely different solutions for the conceptual framework A. THREE ROLES OF THE GAME Artificial intelligence as an actor · Historically, the first use of artificial intelligence in computer games was to mediate between the users and also the game. The AI ​​played the role of an artificial human opponent or teammate, enabling gameplay without requiring people or filling roles that humans would be reluctant to fill in a game. Compared to non-game AI, designed intelligence in games places a greater emphasis on creating participatory and enjoyable experiences for users, rather than maximizing a utility operation such as scoring or win/loss rates. Artificial Intelligence as Designer · The second role of game AI is to mediate between the human designer (or developer) and then the human-computer system composed of game and player. In our image, game designers are responsible for creating and crafting a game, analyzing how players interact with the game, and iteratively crafting the game to achieve a design vision. Artificial intelligence as a producer · The third role of game artificial intelligence uses an image of artificial intelligence as a game producer. In our image, i.