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Artificial intelligence based on fuzzy behavior for game programming
Author(s)
Sanornoi, Nitiwat
Date Issued
January 1, 2004
Type
Conference Paper
Abstract
This paper applies the behavior-based control for mobile robots to design the artificial-intelligent characteristics of game programming in order to reduce the complexity of the intelligence features of the enemies in a game. The artificial intelligence in this paper composes of fuzzy system for creation of the natural behavior. This fuzzy model employs Takagi-Sugeno's methodology for building program modules. The character described in the model herein is the enemy of 'Mage in the Demon Zone' game. Copyright 2004 ACM.
Citation
ACM International Conference Proceeding Series, 74, 277-279, 2004