NDLI: Cultural Algorithms applied to the evolution of robotic soccer team tactics: A novel perspective

Content Provider	IEEE Xplore Digital Library
Author	Ali, M.Z. Morghem, A. Albadarneh, J. Al-Gharaibeh, R. Suganthan, P.N. Reynolds, R.G.
Copyright Year	2014
Description	Author affiliation: Comput. Inf. Syst. Dept., Jordan Univ. of Sci. & Technol., Irbid, Jordan (Ali, M.Z.; Morghem, A.; Albadarneh, J.; Al-Gharaibeh, R.) \|\| Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore (Suganthan, P.N.) \|\| Comput. Sci. Dept., Wayne State Univ., Detroit, MI, USA (Reynolds, R.G.)
Abstract	Cultural Algorithms have been previously employed to model the emergence of cooperative behaviors of agents in different multi-agent systems. In this paper, a simplified and adaptive version will be used as the basis to generate cooperative behaviors within a team of soccer players using different team formations and effective plays. This system can be used as a tutorial for the application of Cultural Algorithms for the coordination of groups of agents in complex multi-agent dynamic environments. Simplified Cultural Algorithms were successful in effectively learning different types of plays, including active and passive protagonists, within a small number of generations. Successful learning includes the coordination of adjustments of the team members to develop the most suitable team formations for every scenario. Experimental results enable us to conclude that Cultural Algorithms, when configured properly, in order to produce significant results, can perform very competitively when compared to other types of learning strategies and case-based game plays.
Starting Page	2180
Ending Page	2187
File Size	1813452
Page Count	8
File Format	PDF
e-ISBN	9781479914883
DOI	10.1109/CEC.2014.6900616
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cultural differences Games Sociology Statistics Evolutionary computation Robot kinematics
Content Type	Text
Resource Type	Article

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