<fmt:message key='jsp.layout.header-default.alt'/>  
 

DSpace@UM >
Faculty of Computer Science and Information Technology >
Conference Proceedings >
International Conference on Informatics >
Informatics 2007 >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1812/348

Title: AN INVESTIGATION OF AN INTEGRATION OF INDIVIDUAL AND SOCIAL LEARNING IN AN EVOLUTIONARY APPROACH TO THE GAME OF TIC-TAC-TOE
Authors: Razali Yaakob
Kendall, Graham
Keywords: Evolutionary neural networks
Individual learning
Social learning
Issue Date: 2007
Abstract: In this paper, we investigate an integration of individual and social learning, utilising evolutionary neural networks. Individual learning takes place by playing against the nearly perfect player. Social learning allows poor performing players to learn from those players, which are playing at a higher level. There are two types of experiments in this work, i.e. the experiment with social learning and the experiment without the social learning. The feed forward neural networks are evolved via evolutionary strategies and no knowledge incorporate in this work. Our experiments show that learning the experiment with social learning statistically significant giving better result than the experiment without social learning.
Description: Proceeding of the 2nd International Conference on Informatics (Informatics 2007), 27th-28th November 2007, Hilton Petaling Jaya Hotel, Petaling Jaya, Selangor, Malaysia. Page T1-72 - T1-77
URI: http://dspace.fsktm.um.edu.my/handle/1812/348
ISBN: 978-983-43491-1-0
Appears in Collections:Informatics 2007

Files in This Item:

File Description SizeFormat
AIA.pdf3.42 MBAdobe PDFView/Open


This item is protected by original copyright



Your Tags:

 

  © Copyright 2008 DSpace Faculty of Computer Science and Information Technology, University of Malaya . All Rights Reserved.
DSpace@UM is powered by MIT - Hawlett-Packard. More information and software credits. Feedback