Simon Colton

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Simon Colton (London, 1973)[1] is a British computer scientist, currently working in the Computational Creativity Group at Goldsmiths College in the University of London, where he is Professor of Computational Creativity.[2] He previously led a research group of the same name at Imperial College, London in the position of Reader. He graduated from the University of Durham with a degree in Mathematics, gained an MSc. in Pure Mathematics at the University of Liverpool, and finally a PhD in Artificial Intelligence from the University of Edinburgh, under the supervision of Professor Alan Bundy.

Simon is the driving force behind,[3] an artificial intelligence that he hopes will one day be accepted as an artist in its own right. His work,[4] along with that of Maja Pantic and Michel Valstar, won the British Computing Society Machine Intelligence Award in 2007.[5] The work has also been the subject of some media attention.[1]

Prior to his work on The Painting Fool, Simon 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.[6] Colton's work with HM included the discovery of [refactorable number]s which appeared to be original but turned out to have been previously discovered.[7][8]


  1. ^ a b El Pais - "Las máquinas dan signos de saber apreciar la pintura" 25.09.2010. Accessed 22 June 2011.
  2. ^
  3. ^ The Painting Fool
  4. ^ Simon Colton List of publications from the DBLP Bibliography Server. Accessed 22 June 2011.
  5. ^ Emotionally aware automated portrait painting - Proceedings of the 3rd international conference on Digital Interactive Media in Entertainment and Arts
  6. ^ Rise of the Robogeeks - New Scientist
  7. ^ 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
  8. ^ S. Colton, "Refactorable Numbers - A Machine Invention," Journal of Integer Sequences, Vol. 2 (1999), Article 99.1.2

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