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Conclusions

  • Azlan IqbalEmail author
  • Matej Guid
  • Simon Colton
  • Jana Krivec
  • Shazril Azman
  • Boshra Haghighi
Chapter
Part of the SpringerBriefs in Cognitive Computation book series (BRIEFSCC, volume 3)

Abstract

We conclude with an overview of the concept of creativity and how it must be a process, like any other, that can be mechanized. The advantages of being able to do so are clear as advancements in virtually every field should follow, unhindered by the slow and often clouded thinking of humans. The DSNS approach proposed is just such a process that is, in principle, both scalable and applicable in other domains. However, much more testing is required before any grandoise claims of its usefulness can be made, despite whatever has already been demonstrated in the domain of chess problem or puzzle composition. In conjuction with other technologies, such as robotics, the DSNS could also be a real-time component in sentient or semi-sentient androids, enabling them to come up with new ideas and suggestions that could benefit humans. Given the scale of problems facing humanity today (e.g. environment, medicine), computational creativity may be our only hope of survival into the distant future.

Keywords

Conclusions DSNS Future Robotics Problems Mechanization Process 

Copyright information

© The Author(s) 2016

Authors and Affiliations

  • Azlan Iqbal
    • 1
    Email author
  • Matej Guid
    • 2
  • Simon Colton
    • 3
  • Jana Krivec
    • 4
  • Shazril Azman
    • 5
  • Boshra Haghighi
    • 5
  1. 1.College of Information TechnologyUniversiti Tenaga NasionalKajangMalaysia
  2. 2.Faculty of Computer and Information ScienceUniversity of LjubljanaLjubljanaSlovenia
  3. 3.Department of Computing of Goldsmiths CollegeUniversity of LondonLondonUnited Kingdom
  4. 4.Department of Intelligent SystemsJožef Stefan InstituteLjubljanaSlovenia
  5. 5.College of Graduate StudiesUniversiti Tenaga NasionalKajangMalaysia

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