Int J Performability Eng ›› 2019, Vol. 15 ›› Issue (2): 654-666.doi: 10.23940/ijpe.19.02.p30.654666

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Intelligence to Artificial Creativity

Qinyun Liua, Lin Zoua, Sicong Maa*(), and Hongji Yangb   

  1. a Centre for Creative Computing,Bath Spa University,Bath,SN13 0BZ,England, UK
    b Department of Informatics,University of Leicester, Leicester,LE1 7RH,England, UK
  • Revised on ; Accepted on
  • Contact: Ma Sicong E-mail:Qinyun.liu15@bathspa.ac.uk

Abstract:

Assuming creativity is not the same as intelligence and we know that intelligence can be generated by computing (AI), can we generate creativity with computing and call it Artificial Creativity (AC)? What is the connection between AI and AC? This article is attempting to answer these questions and to is propose a system to generate creativity. Human intelligence has been researched for years by psychologists and biologists. Then, based on working mechanism of human brain, computer scientists developed neural network algorithm and other machine learning algorithms to generate intelligence. Creativity is a unique characteristic of living creatures. Recently more work has been on generating creativity through combining creativity theories and artificial intelligence algorithms.

Key words: artificial intelligence, artificial creativity, creative computing, neural network