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General game playing (GGP) is the design of artificial intelligence programs to be able to play more than one game successfully. [1] [2] [3] For many games like chess, computers are programmed to play these games using a specially designed algorithm, which cannot be transferred to another context.
A Japanese mahjong set. Mahjong is a relatively complex four-player game with multiple variants played all around the world. [1] When developing a mahjong-related artificial intelligence (AI), there are several factors researchers must consider; an AI must take into account its own hand as well as what it infers about the other players' hands utilizing the information available. [2]
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. The field is sharply divided into two eras.
A final two chapters provide brief hints and more detailed solutions to the puzzles, [2] with the solutions forming the majority of pages of the book. [3] Some of the puzzles are well known classics, some are variations of known puzzles making them more algorithmic, and some are new. [4] They include:
Some hobbyists have developed computer programs that will solve Sudoku puzzles using a backtracking algorithm, which is a type of brute force search. [3] Backtracking is a depth-first search (in contrast to a breadth-first search), because it will completely explore one branch to a possible solution before moving to another branch.
The term game AI is used to refer to a broad set of algorithms that also include techniques from control theory, robotics, computer graphics and computer science in general, and so video game AI may often not constitute "true AI" in that such techniques do not necessarily facilitate computer learning or other standard criteria, only constituting "automated computation" or a predetermined and ...