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In video game AI, a utility system, or utility AI, is a simple but effective way to model behaviors for non-player characters.Using numbers, formulas, and scores to rate the relative benefit of possible actions, one can assign utilities to each action.
The net effect, over the course of many simulated games, is that the value of a node representing a move will go up or down, hopefully corresponding to whether or not that node represents a good move. Monte Carlo Tree Search has been used successfully to play games such as Go, [82] Tantrix, [83] Battleship, [84] Havannah, [85] and Arimaa. [86
Bushnell's Law or Nolan's Law is an aphorism often attributed to Atari founder Nolan Bushnell, on the subject of video game design: [1] All the best games are easy to learn and difficult to master. They should reward the first quarter and the hundredth. Bushnell came up with the concept based on his experience with his first game Computer Space ...
Rules of Play expresses the perspective that a theoretical framework for interactive design has not yet been established. This is not the first time this has been recognized or explored, but is explored in a fresh way in great detail - with one review stating that: "the book manages to bridge the emerging field of game studies methodologies and design theory".
The Art of Computer Game Design by Chris Crawford is the first book [1] devoted to the theory of computer and video games. The book attempts to categorize computer games and talks about design precepts that serve as guidelines for game designers. It was originally published in Berkeley, California, by McGraw-Hill/Osborne Media in 1984.
This category contains articles that relates to video game design. For articles on computer and video game creation in general, see Category:Video game development.
Level up your office game, automate your daily tasks, and wow your boss with this comprehensive Excel training course. Excel from Beginner to Advanced is a comprehensive Microsoft Excel course ...
Uncertainty quantification (UQ) is the science of quantitative characterization and estimation of uncertainties in both computational and real world applications. It tries to determine how likely certain outcomes are if some aspects of the system are not exactly known.