Graham Kendall
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Professor Graham Kendall

Professor Graham Kendall is the Provost and CEO of The University of Nottingham Malaysia Campus (UNMC). He is also a Pro-Vice Chancellor of the University of Nottingham.

He is a Director of MyResearch Sdn Bhd, Crops for the Future Sdn Bhd. and Nottingham Green Technologies Sdn Bhd. He is a Fellow of the British Computer Society (FBCS) and a Fellow of the Operational Research Society (FORS).

He has published over 230 peer reviewed papers. He is an Associate Editor of 10 journals and the Editor-in-Chief of the IEEE Transactions of Computational Intelligence and AI in Games.

News

The hunt for MH370
http://bit.ly/1DXRLbu
I am involved with a spin out company that specialises in Strategic Resource Planning
http://bit.ly/eTPZO2

Latest Blog Post

Snooker: Celebrating 40 years at the Crucible

Random Blog Post

Twitter: Identifying Potential Followers

Publication(s)

Scheduling TV Commercials: Models and Solution Methodologies
http://bit.ly/idSBCA
Iterated Local Search Using an Add and Delete Hyper-heuristic for University Course Timetabling
http://bit.ly/1mlRZo4
Evolving Neural Networks with Evolutionary Strategies: A New Application to Divisa Money
http://bit.ly/dKzEAy
EnHiC: An enforced hill climbing based system for general game playing
http://bit.ly/1VOTCY2

Graham Kendall: Details of Requested Publication


Citation

Yaakob, R and Kendall, G An Integration of BP-Pool and Social Learning in the Opening of Go. In Proceedings of 2009 WRI World Congress on Computer Science and Information Engineering, pages 636-640, 2009.


Abstract

In this paper, we investigate an integration of a best population pool and social learning, utilising evolutionary neural networks. The experiments are divided into several intervals, and we keep the best player from each interval in the best population pool (BP-pool). Social learning allows poor performing players to learn from those players, which are playing at a higher level. The feed forward neural networks are evolved via evolution strategies and no knowledge is incorporated into the players. The evolved neural network players play against a rule-based player, Gondo, at the beginning of the match. The remainder of the games then copied by another Gondo and they continue the game by playing against themselves. Our results demonstrate that learning is taking place.


pdf

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doi

The doi for this publication is 10.1109/CSIE.2009.875 You can link directly to the original paper, via the doi, from here

What is a doi?: A doi (Document Object Identifier) is a unique identifier for sicientific papers (and occasionally other material). This provides direct access to the location where the original article is published using the URL http://dx.doi/org/xxxx (replacing xxx with the doi). See http://dx.doi.org/ for more information



URL

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The URL is only provided if there is additional information that might be useful. For example, where the entry is a book chapter, the URL might link to the book itself.


Bibtex

@INPROCEEDINGS{yk2009, author = {R. Yaakob and G. Kendall},
title = {An Integration of BP-Pool and Social Learning in the Opening of Go},
booktitle = {Proceedings of 2009 WRI World Congress on Computer Science and Information Engineering},
year = {2009},
pages = {636--640},
abstract = {In this paper, we investigate an integration of a best population pool and social learning, utilising evolutionary neural networks. The experiments are divided into several intervals, and we keep the best player from each interval in the best population pool (BP-pool). Social learning allows poor performing players to learn from those players, which are playing at a higher level. The feed forward neural networks are evolved via evolution strategies and no knowledge is incorporated into the players. The evolved neural network players play against a rule-based player, Gondo, at the beginning of the match. The remainder of the games then copied by another Gondo and they continue the game by playing against themselves. Our results demonstrate that learning is taking place.},
doi = {10.1109/CSIE.2009.875},
owner = {Graham},
timestamp = {2016.02.07},
webpdf = {http://www.graham-kendall.com/papers/yk2009.pdf} }