DocumentCode :
2616617
Title :
A Fuzzy Two-Phase Decision Making Approach for Simulated Soccer Agent
Author :
Salmani, Vahid ; Fard, Amin Milani ; Naghibzadeh, Mahmoud
Author_Institution :
Dept. of Comput. Eng., Ferdowsi Univ., Mashhad
fYear :
0
fDate :
0-0 0
Firstpage :
1
Lastpage :
6
Abstract :
Soccer simulation is an effort to motivate researchers to perform artificial and robotic intelligence research; and at the same time put into practice and evaluate the results. The research includes design and implementation of robotic soccer simulation algorithms in a multi-agent environment. In this paper, we propose a fuzzy two-phase approach, based on our previous crisp two-phase mechanism, for the soccer player agent´s action selection. To do so, a fuzzy decision making approach was implemented which tells an agent what action to take, in a given situation. In comparison with similar implementations, our approach is faster and simpler to follow. This method is integrated into our Nexus soccer simulation team of Ferdowsi University. The outcome showed the superiority of the fuzzy two-phase selection method compared to the non-fuzzy one
Keywords :
control system analysis computing; decision making; fuzzy set theory; mobile robots; multi-agent systems; multi-robot systems; Nexus soccer simulation team; RoboCup soccer simulation; fuzzy two-phase decision making; multiagent system; robotic soccer simulation; simulated soccer agent; Artificial intelligence; Computational modeling; Computer simulation; Decision making; Fuzzy systems; Information analysis; Intelligent robots; Laboratories; Software; Testing; Multi-agent systems; RoboCup soccersSimulation; fuzzy decision making;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering of Intelligent Systems, 2006 IEEE International Conference on
Conference_Location :
Islamabad
Print_ISBN :
1-4244-0456-8
Type :
conf
DOI :
10.1109/ICEIS.2006.1703153
Filename :
1703153
Link To Document :
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