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Game playing was an area of research in AI from its inception. One of the first examples of AI is the computerized game of Nim made in 1951 and published in 1952. Despite being advanced technology in the year it was made, 20 years before Pong, the game took the form of a relatively small box and was able to regularly win games even against highly skilled players of the game. [1]
General Game Playing is a project of the Stanford Logic Group of Stanford University, California, which aims to create a platform for general game playing.It is the most well-known effort at standardizing GGP AI, and generally seen as the standard for GGP systems.
AI Dungeon is a text adventure game that uses artificial intelligence to generate random storylines in response to player-submitted stimuli. [1] [2] [3] [4]In the game, players are prompted to choose a setting for their adventure (e.g. fantasy, mystery, apocalyptic, cyberpunk, zombies), [5] [6] followed by other options relevant to the setting (such as character class for fantasy settings).
Computer Go is the field of artificial intelligence (AI) dedicated to creating a computer program that plays the traditional board game Go.The field is sharply divided into two eras.
Chess is a turn-based strategy game that is considered a difficult AI problem due to the computational complexity of its board space. Similar strategy games are often solved with some form of a Minimax Tree Search. These types of AI agents have been known to beat professional human players, such as the historic 1997 Deep Blue versus Garry ...
The game ends if the AI succeeds in converting all the matter in the universe into paperclips. Both the title of the game and its overall concept draw from the paperclip maximizer thought experiment first described by Swedish philosopher Nick Bostrom in 2003, a concept later discussed by multiple commentators.
The users can create their own ZRF-files and make the AI of Zillions-of-Games play their newly created game. The definition of games usually contains the following pattern: [5] Game title. One ZRF can contain more than one game and game title allows the user to select a certain game. Description, history and strategy of the game. This is a text ...
Decommissioned AlphaGo backend rack. Go is considered much more difficult for computers to win than other games such as chess, because its strategic and aesthetic nature makes it hard to directly construct an evaluation function, and its much larger branching factor makes it prohibitively difficult to use traditional AI methods such as alpha–beta pruning, tree traversal and heuristic search.
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