Erik Frikel The Influence of AI in the gaming industry The Influence of A.I. in the gaming industry Artificial intelligence (AI) in games is not a new innovation. As early as 1949, mathematician and cryptographer Claude Shannon was considering a one-player chess game in which people would play against a computer. In fact, gaming is a key entity to AI and the foundation for simulations, engineered environments, and tests of realism that are the foundation of virtual experiences. Gaming experience with A.I. For example, Sim City in the 1989's, where gamers controlled complex simulations and rudimentary AI was designed to simulate something close to realism - such as deeply human characteristics like unpredictability. The shoot'em-up genre has also been polished up with realism. In the 2000s, virtual fighters in Total War been able to bring up human-like emotions - just like soldiers in real battlefields. AI is particularly valuable for games because the gaming experience is uniquely dependent on quality. A practically Stone Age visual experience is fine (no one complained about the ‘realism of Pac-Man). Pac-Man 1980 1
Erik Frikel The Influence of AI in the gaming industry AI in Videogames AI has always played an important role in computer and video games and their development. More and more complex rule sets are used in games so that characters and the game world react credibly to the behavior of the player. Mostly intelligent behavior is imitated and simulated. Above all, AI is used to represent the game world in a credible way: for example, the computer opponent adapts his own strategy according to the style of play and the skills of the human player and thus simulates reactions that would be expected from a human player. Game worlds are getting bigger and more complex, which further increases the demands on the AI. Games can also promote difficult thinking within certain parameters and are therefore a valuable test platform for AI systems. IBM's Deep Blue chess computer, which defeated world champion chess player Gary Kasparov over 20 years ago, is perhaps the most famous example. Garry Kasparov vs. Deep Blue 2
Erik Frikel The Influence of AI in the gaming industry Since then there have been many other applications: In 2012, two AI-controlled game bots managed to pass the \"Games Turing Test\" in the game Unreal Tournament 2004. The \"Games Turing test\" is a variant of the Turing test, in which the spectators of the game have to correctly guess whether the observed behavior in a game corresponds to that of a human or an AI-controlled bot. Most recently, eSports professionals competed against an AI from Google subsidiary Deep Mind in the real- time strategy game Starcraft. This was trained in advance in cooperation with the game manufacturer Blizzard on the basis of a database of games played by people. In the game, the human was still the winner, unlike a game of a bot from OpenAI, a research organization behind which, among others, entrepreneur Elon Musk is. The bot uses machine learning to play Dota 2. The bot can play games against itself every day for a period of 180 years, learning successful ways of playing and has already defeated professionals. By using the technologies in training, eSports professionals can also benefit by adapting successful bot strategies. The findings from the games are also used in research in order to improve the algorithm that can also be used in other areas. The fictional state of San Andreas from the game Grand Theft Auto V offers the test field for autonomous driving in another application. The self-driving neural network learns how to deal with road traffic in the game world. 3
Erik Frikel The Influence of AI in the gaming industry The next steps of Games & AI In the future, the use of AI in connection with games will increase in all of these areas. Other technologies will also play a greater role here, the interaction of which can enable great leaps in development. There are first applications to outsource the amount of data generated in the game via a cloud connection and to evaluate the huge amounts of information in high-performance data centers. This allows customized game content to be generated using AI. Games will also continue to drive hardware development. Graphics cards, which are primarily developed for the most realistic possible representation of game worlds, offer the best prerequisites for the application of deep learning and AI thanks to the speed of their chips. Overall, games will continue to drive AI research and be significantly involved in further development. In order to be successful in Germany as well, research funding in the games sector in particular must be expanded. Games technologies are an important building block on Germany's path to becoming one of the world's leading locations for AI. It is also imperative to expand the supply of fast Internet. Low-latency gigabit networks must finally be available nationwide so that the emerging applications can also be used and all citizens can benefit from new application possibilities. 4
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