Graham Kendall
Various Images

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

I am a member of the Automated Scheduling, Optimisation and Planning Research Group
http://bit.ly/eIQ5XC
A Conversation article celebrating Pi
http://bit.ly/1DXuXbV

Latest Blog Post

How Isaac Newton could help you beat the casino at roulette

Random Blog Post

The science that makes us spend more in supermarkets, and feel good while we do it

Publication(s)

A Tabu-Search Hyperheuristic for Timetabling and Rostering
http://bit.ly/i7823Y
Evolutionary Strategies vs. Neural Networks; New Evidence from Taiwan on the Divisia Index Debate
http://bit.ly/iiwrjD
A great deluge algorithm for a real-world examination timetabling problem
http://bit.ly/1xCdCSx
An Ant-Algorithm Hyper-heuristic
http://bit.ly/eeGL0m

Graham Kendall: Details of Requested Publication


Citation

Hingston, P; Congdon, C.B and Kendall, G Mobile Games with Intelligence: a Killer Application?. In Proceedings of the 2013 IEEE Conference on Evolutionary Computation and Games (CIG), pages 438-444, 2013.


Abstract

Mobile gaming is an arena full of innovation, with developers exploring new kinds of games, with new kinds of interaction between the mobile device, players, and the connected world that they live in and move through. The mobile gaming world is a perfect playground for AI and CI, generating a maelstrom of data for games that use adaptation, learning and smart content creation. In this paper, we explore this potential killer application for mobile intelligence. We propose combining small, light-weight AI/CI libraries with AI/CI services in the cloud for the heavy lifting. To make our ideas more concrete, we describe a new mobile game that we built that shows how this can work.


pdf

You can download the pdf of this publication from here


doi

The doi for this publication is 10.1109/CIG.2013.6633660 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

This pubication does not have a URL associated with it.

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{hck2013, author = {P. Hingston and C.B. Congdon and G. Kendall},
title = {Mobile Games with Intelligence: a Killer Application?},
booktitle = {Proceedings of the 2013 IEEE Conference on Evolutionary Computation and Games (CIG)},
year = {2013},
pages = {438--444},
abstract = {Mobile gaming is an arena full of innovation, with developers exploring new kinds of games, with new kinds of interaction between the mobile device, players, and the connected world that they live in and move through. The mobile gaming world is a perfect playground for AI and CI, generating a maelstrom of data for games that use adaptation, learning and smart content creation. In this paper, we explore this potential killer application for mobile intelligence. We propose combining small, light-weight AI/CI libraries with AI/CI services in the cloud for the heavy lifting. To make our ideas more concrete, we describe a new mobile game that we built that shows how this can work.},
doi = {10.1109/CIG.2013.6633660},
owner = {Graham},
timestamp = {2013.08.17},
webpdf = {http://www.graham-kendall.com/papers/hck2013.pdf} }