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A genetic‐fuzzy system for optimising agent steering
Author(s) -
Gerdelan Anton,
O'Sullivan Carol
Publication year - 2010
Publication title -
computer animation and virtual worlds
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.225
H-Index - 49
eISSN - 1546-427X
pISSN - 1546-4261
DOI - 10.1002/cav.360
Subject(s) - computer science , fuzzy logic , fuzzy control system , process (computing) , character (mathematics) , control engineering , artificial intelligence , operating system , mathematics , geometry , engineering
Fuzzy controllers are a popular method for animated character perception and control. A drawback of fuzzy systems is that time intensive manual calibration of system parameters is required. We introduce a new Genetic‐Fuzzy System (GFS) that automates the tuning process of rules for animated character steering. An advantage of our GFS is that it is able to adapt the rules for steering behaviour during run time. We explore the parameter space of the new GFS, and discuss how the GFS can be implemented to run as a background process during normal execution of a simulation. Copyright © 2010 John Wiley & Sons, Ltd.