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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.
The voice command system, though the game's primary feature, has often been noted to be its weak point, due to inaccurate actions taken when commands are given, and the basic sense of conversation and directions reduced to simple verbs and nouns, particularly when in the course of solving many of the game's puzzles.
The deal with Replica Studios, an AI voice technology company, establishes protections around the licensing of digitally replicated voices, the union said in a news release. The deal was announced ...
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One traditional AI technique for creating game playing software is to use a minimax tree search. This involves playing out all hypothetical moves on the board up to a certain point, then using an evaluation function to estimate the value of that position for the current player. The move which leads to the best hypothetical board is selected ...
The goal of GDL is to allow the development of AI agents capable of general game playing. It is part of the General Game Playing Project at Stanford University. GDL is a tool for expressing the intricacies of game rules and dynamics in a form comprehensible to AI systems through a combination of logic-based constructs and declarative principles ...
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 ...