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
Can ants play chess? Yes they can!
http://bit.ly/1yW3UhX

Latest Blog Post

Snooker: Celebrating 40 years at the Crucible

Random Blog Post

Bibtex: Display papers by a given author

Publication(s)

Grammatical Evolution of Local Search Heuristics
http://bit.ly/1c3ciu6
Co-Evolving Neural networks with Evolutionary Strategies: A New Application to Divisia Money
http://bit.ly/eBV6pc
Heuristic Space Diversity Management in a Meta-Hyper-Heuristic Framework
http://bit.ly/1uuQW45
An Adaptive Length Chromosome Hyperheuristic Genetic Algorithm for a Trainer Scheduling Problem
http://bit.ly/ezw9NR

Graham Kendall: Details of Requested Publication


Citation

Al-Khateeb, B and Kendall, G The importance of a piece difference feature to Blondie24. In Proceedings of the 2010 UK Workshop on Computational Intelligence (UKCI), pages 1-6, 2010.


Abstract

In recent years, significant research attention has been paid to evolving self-learning checkers players. Fogel's Blondie24 has been very successful in this field and has inspired other researchers to further develop this area. In this paper we address the question of whether piece difference is an important factor in the Blondie24 architecture. Although this issue has been addressed before, this work provides a different experimental setup to previous work, but arrives at the same conclusion. Our experiments show that piece difference has a significant effect on learning abilities.


pdf

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doi

The doi for this publication is 10.1109/UKCI.2010.5625582 You can link directly to the original paper, via the doi, from here

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URL

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Bibtex

@INPROCEEDINGS{ak2010, author = {B. Al-Khateeb and G. Kendall},
title = {The importance of a piece difference feature to Blondie24},
booktitle = {Proceedings of the 2010 UK Workshop on Computational Intelligence (UKCI)},
year = {2010},
pages = {1--6},
month = {8-10 Sep 2010},
organization = {Sch. of Comput. Sci., Univ. of Nottingham, Nottingham, UK},
abstract = {In recent years, significant research attention has been paid to evolving self-learning checkers players. Fogel's Blondie24 has been very successful in this field and has inspired other researchers to further develop this area. In this paper we address the question of whether piece difference is an important factor in the Blondie24 architecture. Although this issue has been addressed before, this work provides a different experimental setup to previous work, but arrives at the same conclusion. Our experiments show that piece difference has a significant effect on learning abilities.},
doi = {10.1109/UKCI.2010.5625582},
keywords = {Checkers, Blondie24, Draughts, Games, Computational Intelligence, Neural Networks, evolutionary computation},
owner = {gxk},
timestamp = {2010.12.11},
webpdf = {http://www.graham-kendall.com/papers/ak2010.pdf} }