This document discusses research topics in artificial intelligence, specifically creative computing and computational creativity. It is authored by Dr. Vanessa Camilleri from the University of Malta's Department of AI. The document provides information on Dr. Camilleri's background and research interests, which include virtual reality, augmented reality, games, machine learning for education, and developing creative AI applications in areas like music, games, tourism and cultural heritage. It also poses several research questions on the challenges of computational creativity and whether AI can be truly creative.

1. Dr Vanessa Camilleri
Department of AI
University of Malta
2020
Research Topics in AI
Creative Computing & Computational Creativity

2. Hi …
I’m Vanessa Camilleri
I’m a lecturer at the Department of AI, Faculty of ICT
I can be contacted via vanessa.camilleri@um.edu.mt
My main interests are in the fields of Creative
Computing & Education, which include VR, AR &
MR, Games & Game AI, and ML for Education.

3. How do you develop Research Topics?

4. • What topics other researchers have examined related
to this topic
• What is known based on findings from prior research
• The methods used to study topics

5. https://www.youtube.com/watch?v=CZ1200kMl4A

6. Decision Making
Problem Solving
Music
Tourism
Games
Art
Cultural Heritage Education Health

7. What is Creativity?
What are the differences between Creative
Computing and Computational Creativity?
What are the challenges of Creative Computing?
Where are we at in Computational Creativity?
Where does the gap between human creativity
and computing lie?

8. Can a computer be capable of original
thought and of creating something on
its own?

9. Can we consider AI to be the artist?

10. Portrait of Edmond Belamy

11. Evolution of AARON

13. Algorithmic Art
A generative artwork begins as
a set of rules and a world (the
initial condition). Sometimes it
takes millions of iterations for a
pattern to emerge, depending
on the complexity of the
algorithm and its conditions.

14. Project e-David Robot Painting

16. Computational
Creativity in Music

17. • Markov Chains
• Formal Grammars
• Rule/Constraint based Systems
• Neural Networks/Deep Learning
• Evolutionary/Genetic Algorithms
• Chaos/Self-Similarity
• Agents-based Systems
7 categories of methodologies
Computer-Generated Music

18. Creative AI in Game Design

19. Creative Computing Applications
Democratising Creativity: tourism, heritage and more

20. Creative Computing Applications
VR, AR & AI - bringing out creativity in humans

21. • How can AI support human creativity and discovery?
• Which AI models can be adopted and adapted to aid novelty in
the creation in the performing arts?
• Which AI techniques would best support creativity through
applications such as cultural heritage?
• How can we use AI to revive intangible heritage in the form of
music, art or even novels?
Creativity: novelty in creation or augmenting human capabilities?
Research Issues

22. The ultimate vindication of AI-creativity would be a program
that generated novel ideas which initially perplexed or even
repelled us, but which was able to persuade us that they
were indeed valuable. We are a very long way from that.
Margaret A. Boden from ‘Creativity and Artificial Intelligence’

23. • K. Brennan, C. Balch, and M. Chung,
“Creative computing,” August 2014,
http://scratched.gse.harvard.edu/
guide/files/
CreativeComputing20140806.pdf
• H. Yang, D. Jing, and L. Zhang,
“Creative computing: an approach to
knowledge combination for
creativity?” Proceedings of IEEE
Symposium on Service-Oriented
System Engineering, 2016, pp.
407-414.
• L. Zou et al., “An approach to
applying creative computing in
tourism by constructing a big data
based knowledge system framework,”
Proceedings of the 22nd International
Conference on Automation and
Computing, September 2016.
• L. Zou and H. Yang, “Creative
computing for decision making:
combining game theory and lateral
thinking,” Proceedings of the 21st
International Conference on
Automation & Computing, September
2015.
• H. Yang and L. Zhang, “Promoting
creative computing: origin, scope,
research and applications,” Digital
Communications and Networks, vol.
2, 2016, pp. 84-91.
Bibliography: