Design and Construction of Zana Robot for Modeling Human Player in Rock-paper-scissors Game using Multilayer Perceptron, Radial basis Functions and Markov Algorithms

Ghasemi, Maryam and Roshani, Abdolreza and Muhammad Ali, Peshawa J. and Nia, Farhad F. and Nazemi, Ehsan and Roshani, Gholam H. (2021) Design and Construction of Zana Robot for Modeling Human Player in Rock-paper-scissors Game using Multilayer Perceptron, Radial basis Functions and Markov Algorithms. ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY, 9 (1). pp. 67-76. ISSN 2410-9355

Text (Research Artical) ARO.10757-Vol9.No1.2021.ISSUE16-PP 67-76.pdf - Published Version Available under License Creative Commons Attribution Non-commercial Share Alike. Download (1MB)

Abstract

In this paper, the implementation of artificial neural networks (multilayer perceptron [MLP] and radial base functions [RBF]) and the upgraded Markov chain model have been studied and performed to identify the human behavior patterns during rock, paper, and scissors game. The main motivation of this research is the design and construction of an intelligent robot with the ability to defeat a human opponent. MATLAB software has been used to implement intelligent algorithms. After implementing the algorithms, their effectiveness in detecting human behavior pattern has been investigated. To ensure the ideal performance of the implemented model, each player played with the desired algorithms in three different stages. The results showed that the percentage of winning computer with MLP and RBF neural networks and upgraded Markov model, on average in men and women is 59%, 76.66%, and 75%, respectively. Obtained results clearly indicate a very good performance of the RBF neural network and the upgraded Markov model in the mental modeling of the human opponent in the game of rock, paper, and scissors. In the end, the designed game has been employed in both hardware and software which include the Zana intelligent robot and a digital version with a graphical user interface design on the stand. To the best knowledge of the authors, the precision of novel presented method for determining human behavior patterns was the highest precision among all of the previous studies.

Item Type:	Article
Uncontrolled Keywords:	Multilayer perceptron, Radial basis functions, upgraded Markov model, Rock, Paper, Scissors game
Subjects:	T Technology > T Technology (General)
Divisions:	ARO-The Scientific Journal of Koya University > VOL 9, NO 1 (2021)
Depositing User:	Dr Salah Ismaeel Yahya
Date Deposited:	29 Mar 2022 06:24
Last Modified:	29 Mar 2022 06:24
URI:	http://eprints.koyauniversity.org/id/eprint/273

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