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Practical Game AI Programming
book

Practical Game AI Programming

by Micael DaGraça
June 2017
Beginner
348 pages
7h 50m
English
Packt Publishing
Content preview from Practical Game AI Programming

How it works

The map or scene of the game needs to be prepared or pre-analyzed before the theta algorithm can work. The environment that includes all the assets of the map will be handled as a graph. This means that the map will be broken into different points and locations, which are called nodes. These nodes are used to record all the progress of the search. While memorizing the map location, each individual node has other attributes, such as fitness, goal, and heuristic, usually represented by the letters f, g, and h. The purpose of the fitness, goal, and heuristic attributes is to put in order how good a path is according to the current node.

Different values are assigned to the paths between the nodes. These values usually represent ...

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Publisher Resources

ISBN: 9781787122819