The Effect of Input Knowledge on Creativity

Simon Colton, Alison Pease, Graeme D Ritchie

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

Abstract

Recently, many programs have been written to perform tasks which are usually regarded as requiring creativity in humans. We can derive some commonalities between these programs in order to build further creative programs. Key to this is the derivation of certain measures which assess how creative a program is. Starting from recent proposals by Ritchie, we define possible measures which describe the extent to which a program produces novel output. We discuss how this relates to the creativity of the program.
Original languageEnglish
Title of host publicationInformatics Research Report EDI-INF-RR-0055
Subtitle of host publicationDIVISION of INFORMATICS, Centre for Intelligent Systems and their Applications, Institute for Communicating and Collaborative Systems, November 2001
Place of PublicationEdinburgh, UK
PublisherUniversity of Edinburgh
Number of pages6
Publication statusPublished - Nov 2001
Event4th International Conference on Case-Based Reasoning, ICCBR 2001 - Vancouver, Canada
Duration: 30 Jul 20012 Aug 2001

Conference

Conference4th International Conference on Case-Based Reasoning, ICCBR 2001
Abbreviated titleICCBR-2001
Country/TerritoryCanada
CityVancouver
Period30/07/012/08/01

Bibliographical note

This work is supported by EPSRC grants GR/M98012 and GR/M45030. The first author is also affiliated with the Department of Computer Science, University of York. We would like to thank Alan Smaill for some important input to this work and the anonymous reviewers for their comments on an earlier draft of this paper.

Keywords

  • machine creativity
  • philosophy of science
  • measures of creativity
  • fine-tuning
  • novelty

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