For faster navigation, this Iframe is preloading the Wikiwand page for Simon Colton.

Simon Colton

Simon Colton
Born1973
Alma materDurham University (BSc)
University of Liverpool (MSc)
University of Edinburgh (PhD)
Scientific career
FieldsComputational creativity
InstitutionsImperial College, London
Goldsmiths, University of London
Queen Mary, University of London
ThesisAutomated theory formation in pure mathematics (2001)
Doctoral advisorAlan Bundy and Toby Walsh

Simon Colton (born 1973)[1] is an English computer scientist, currently working as Professor of Computational Creativity in the Game AI Research Group at Queen Mary University of London and in the Sensilab at Monash University, Australia.

He previously worked as Professor in the Metamakers Institute at Falmouth University, UK and led the Computational Creativity Research Groups at Goldsmiths, University of London and at Imperial College, London.

Early life and education

[edit]

Born in Nottingham, Colton graduated from the University of Durham in 1994 with a BSc degree in Mathematics. After a year spent as a programmer at a software company, he studied at the University of Liverpool, where he gained an MSc in Pure Mathematics in 1996. In 2000 he finished his PhD in Artificial Intelligence at the University of Edinburgh, having been supervised by Alan Bundy and Toby Walsh.

Career

[edit]

Overview

[edit]

Colton stayed on as a Research Associate at the University of Edinburgh until 2002, at which point he moved to Imperial College, London as a lecturer in the Department of Computing. He was appointed Senior Lecturer in 2007 and then Reader in Computational Creativity in 2010. He was appointed Professor of Computational Creativity at Goldsmiths College in 2013 and joined Queen Mary, University of London in 2018.

The Painting Fool

[edit]

Colton is the driving force behind thepaintingfool.com,[2] an artificial intelligence that he hopes will one day be accepted as an artist in its own right. His work,[3] along with that of Maja Pantić and Michel Valstar, won the British Computing Society Machine Intelligence Award in 2007.[4] The work has also been the subject of some media attention.[1]

Prior to his work on The Painting Fool, Colton worked on the HR tool, a reasoning tool that was applied to discover mathematical concepts. The system successfully discovered theorems and conjectures, some of which were novel enough to become published works.[5] Colton's work with HM included the discovery of refactorable numbers, which appeared to be original but turned out to have been previously discovered.[6][7]

References

[edit]
  1. ^ a b El Pais - "Las máquinas dan signos de saber apreciar la pintura" elpais.com 25.09.2010. Accessed 22 June 2011.
  2. ^ The Painting Fool
  3. ^ Simon Colton List of publications from the DBLP Bibliography Server. Accessed 22 June 2011.
  4. ^ Emotionally aware automated portrait painting - Proceedings of the 3rd international conference on Digital Interactive Media in Entertainment and Arts
  5. ^ Rise of the Robogeeks - New Scientist
  6. ^ Cooper, C.N. and Kennedy, R. E. "Tau Numbers, Natural Density, and Hardy and Wright's Theorem 437." Internat. J. Math. Math. Sci. 13, 383-386, 1990
  7. ^ S. Colton, "Refactorable Numbers - A Machine Invention," Journal of Integer Sequences, Vol. 2 (1999), Article 99.1.2
[edit]
{{bottomLinkPreText}} {{bottomLinkText}}
Simon Colton
Listen to this article

This browser is not supported by Wikiwand :(
Wikiwand requires a browser with modern capabilities in order to provide you with the best reading experience.
Please download and use one of the following browsers:

This article was just edited, click to reload
This article has been deleted on Wikipedia (Why?)

Back to homepage

Please click Add in the dialog above
Please click Allow in the top-left corner,
then click Install Now in the dialog
Please click Open in the download dialog,
then click Install
Please click the "Downloads" icon in the Safari toolbar, open the first download in the list,
then click Install
{{::$root.activation.text}}

Install Wikiwand

Install on Chrome Install on Firefox
Don't forget to rate us

Tell your friends about Wikiwand!

Gmail Facebook Twitter Link

Enjoying Wikiwand?

Tell your friends and spread the love:
Share on Gmail Share on Facebook Share on Twitter Share on Buffer

Our magic isn't perfect

You can help our automatic cover photo selection by reporting an unsuitable photo.

This photo is visually disturbing This photo is not a good choice

Thank you for helping!


Your input will affect cover photo selection, along with input from other users.

X

Get ready for Wikiwand 2.0 🎉! the new version arrives on September 1st! Don't want to wait?