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The application of neural networks and min-max algorithm in digital congkak

To date, there are lots of intentions and efforts made to attract young generations with cultural games by promoting, preserving and cultivating cultural games using myriad mediums such as books, e-books, blogs, social media and portals. Supporting the efforts, this paper presents works of digitizin...

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Main Authors: Che Pa, Noraziah, Alwi, Asmidah, Mohamed Din, Aniza, Safwan, Muhammad
Format: Conference or Workshop Item
Language:English
Published: 2013
Subjects:
QA76 Computer software
Online Access:http://repo.uum.edu.my/9500/1/PID127.pdf
http://repo.uum.edu.my/9500/
http://www.icoci.cms.net.my/icoci2013/home.asp
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spelling my.uum.repo.95002014-08-24T01:50:35Z http://repo.uum.edu.my/9500/ The application of neural networks and min-max algorithm in digital congkak Che Pa, Noraziah Alwi, Asmidah Mohamed Din, Aniza Safwan, Muhammad QA76 Computer software To date, there are lots of intentions and efforts made to attract young generations with cultural games by promoting, preserving and cultivating cultural games using myriad mediums such as books, e-books, blogs, social media and portals. Supporting the efforts, this paper presents works of digitizing one of Malaysian traditional games, namely Congkak. A digital Congkak was developed based on Mancala, African traditional game which is similar to Congkak. To make it intelligent, its player agent was developed using a combination of Neural Networks and Min-Max algorithm. Methods, findings and evaluation of the digitized Congkak are presented and discussed. 2013-08-28 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/9500/1/PID127.pdf Che Pa, Noraziah and Alwi, Asmidah and Mohamed Din, Aniza and Safwan, Muhammad (2013) The application of neural networks and min-max algorithm in digital congkak. In: 4th International Conference on Computing and Informatics (ICOCI 2013), 28 -30 August 2013, Kuching, Sarawak, Malaysia. http://www.icoci.cms.net.my/icoci2013/home.asp
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Che Pa, Noraziah
Alwi, Asmidah
Mohamed Din, Aniza
Safwan, Muhammad
The application of neural networks and min-max algorithm in digital congkak
description To date, there are lots of intentions and efforts made to attract young generations with cultural games by promoting, preserving and cultivating cultural games using myriad mediums such as books, e-books, blogs, social media and portals. Supporting the efforts, this paper presents works of digitizing one of Malaysian traditional games, namely Congkak. A digital Congkak was developed based on Mancala, African traditional game which is similar to Congkak. To make it intelligent, its player agent was developed using a combination of Neural Networks and Min-Max algorithm. Methods, findings and evaluation of the digitized Congkak are presented and discussed.
format Conference or Workshop Item
author Che Pa, Noraziah
Alwi, Asmidah
Mohamed Din, Aniza
Safwan, Muhammad
author_facet Che Pa, Noraziah
Alwi, Asmidah
Mohamed Din, Aniza
Safwan, Muhammad
author_sort Che Pa, Noraziah
title The application of neural networks and min-max algorithm in digital congkak
title_short The application of neural networks and min-max algorithm in digital congkak
title_full The application of neural networks and min-max algorithm in digital congkak
title_fullStr The application of neural networks and min-max algorithm in digital congkak
title_full_unstemmed The application of neural networks and min-max algorithm in digital congkak
title_sort application of neural networks and min-max algorithm in digital congkak
publishDate 2013
url http://repo.uum.edu.my/9500/1/PID127.pdf
http://repo.uum.edu.my/9500/
http://www.icoci.cms.net.my/icoci2013/home.asp
_version_ 1644280124182364160
score 13.211869

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