A master thesis from Aalborg University
Behavior Based Fuzzy Logic for World of Warcraft
Author(s)
Term
4. term
Education
Publication year
2012
Submitted on
2012-06-08
Pages
69 pages
Abstract
This project covers the development of an autonomous agent capable of playing against human players in World of Warcraft, and is an extension of work done in the previous project. An expert system that combines a behavior based approach with fuzzy logic has been developed, in which the fuzzy rules are weighted. The weights of the rules are adjusted with reinforcement learning to ease the configuration. The experimental results shows that it is easy to configure an agent in the expert system and that the weights of the fuzzy rules are learned within a short period of time. The agent is far superior to the previously developed scripted agent and is capable of challenging experienced human players in a 3 versus 3 player scenario.
Documents
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