UUM Electronic Theses and Dissertation
UUM ETD | Universiti Utara Malaysian Electronic Theses and Dissertation
FAQs | Feedback | Search Tips | Sitemap

Designing and Developing an Intelligent Congkak

Muhammad Safwan, Mohd Shahidan (2011) Designing and Developing an Intelligent Congkak. Masters thesis, Universiti Utara Malaysia.

[thumbnail of Muhammad_Safwan_Mohd_Shahidan.pdf]
Preview
Text
Muhammad_Safwan_Mohd_Shahidan.pdf

Download (793kB) | Preview
[thumbnail of 1.Muhammad_Safwan_Mohd_Shahidan.pdf]
Preview
Text
1.Muhammad_Safwan_Mohd_Shahidan.pdf

Download (582kB) | Preview

Abstract

Congkak is the nation's traditional game which could soon be forgotten if no serious attention is given to it, but literature survey has not yet found any research publication that mentioned the use of neural network algorithm (NN) on Congkak. Therefore the project want to try to rectify this issue by trying to develop an Intelligent Congkak System that also implemented NN and try
answer research question such as this: “What is the best Congkak evaluation function for training NN for game playing?” and “Can Min-Max algorithm (MM) be speeded up by using NN as a forward-pruning method?”. This issues
can solved by programming the Congkak system based on previous work on Mancala and NN system, and then recording the performance of the related algorithm. As a result: the project had created a Congkak system that had featured 3 Artificial Intelligence (AI) agent, and discovered that the
combination of NN and MM is slower than MM alone.

Item Type: Thesis (Masters)
Supervisor : Che Pa, Noraziah and Mohamed Din, Aniza
Item ID: 2759
Uncontrolled Keywords: Artificial Intelligence, Neural Network Algorithm, Traditional Game
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: College of Arts and Sciences (CAS)
Date Deposited: 11 Mar 2012 06:46
Last Modified: 04 Apr 2022 23:46
Department: College of Arts and Sciences
Name: Che Pa, Noraziah and Mohamed Din, Aniza
URI: https://etd.uum.edu.my/id/eprint/2759

Actions (login required)

View Item
View Item