(Note that some articles linked below are available in electronic format only from computers in the university network, or with suitable proxy settings in your browser or by a VPN connection.)

Starting places

AAAI webpage with starting places and general readings.

AI Magazine Special Issue on Creativity. (Fall, 2009). Vol 30, No 3. (also included in the AAAI link)

(Go to page for article and click on "Download PDF file".)

Articles:

• Computational Creativity: Coming of Age (PDF) Simon Colton, Ramon Lopez de Mantaras, Oliviero Stock;
• Converging on the Divergent: The History (and Future) of the International Joint Workshops in Computational Creativity (PDF) Amílcar Cardoso, Tony Veale, Geraint A. Wiggins ;
• Computer Models of Creativity (PDF) Margaret A. Boden ;
• YQX Plays Chopin (PDF) Gerhard Widmer, Sebastian Flossmann, Maarten Grachten;
• Computational Approaches to Storytelling and Creativity (PDF) Pablo Gervas ;
• Deus Ex Machina — A Higher Creative Species in the Game of Chess (PDF) Shay Bushinsky ;
• Can Computers Create Humor? (PDF) Graeme Ritchie ;
• Essay in the Style of Douglas Hofstadter (PDF) Douglas Hofstadter.

Suggested seminar topics

Linguistic creativity

1. Assessing creativity and computational generated humor:

   • [Ritchie, 2001], [Ritchie, 2004, chapter 10: “Some computational studies”]

2. Study of joke generators

   • General description and evaluation: [Binsted et al., 1997]
   • Technical specification: [Ritchie, 2003]
   • Interactive web version of the system: www.abdn.ac.uk/jokingcomputer
   • HAHAcronym: [Stock and Strapparava, 2003]

3. Creative use of machine learning in text mining

   • Humor recognition: [Mihalcea and Strapparava, 2006]
   • Lie detection: [Mihalcea and Strapparava, 2009]

4. Creative use of machine learning in text mining

   • Humor recognition: [Mihalcea and Strapparava, 2006]
   • Lie detection: [Mihalcea and Strapparava, 2009]

5. Creative combination of patterns and textual corpora

   • Creative retrieval, query expansion and metaphore generation: [Veale, 2011b]

6. Re-use in creativity

   • Linguistic readymades: [Veale, 2011a]
   • Ontology re-use and computational creativity collective: [Colton, 2010a]

Visual creativity

7. Swarm art

   • Searm particle optimization: [Kennedy and Eberhart, 1995]
   • Swarm paintings: [Urbano, 2009]

8. Painting rendering and animation and painting dances

   • Painting Fool: [Colton et al., 2008]
   • Painting dances: [Colton, 2010b]

Musical creativity

9. Conceptual spaces and musical language

   • Boden's conceptual spaces: [Boden, 1998]
   • Wigging's and Gärdenfors’ conceptual spaces:  [Forth et al., 2010]

10. Enhancing musical creativity

    • Interaction in musical creativity: [Pachet, 2006] 

References

• Boden, M. (1998). What is creativity? in Mithen, S. (ed.) Creativity in human evolution and prehistory. Routledge, New York. [google book preview]
• Colton, S., Valstar, M., and Pantic, M. (2008). Emotionally Aware Automated Portrait Painting. Proceedings of the 3rd International Conference on Digital Interactive Media in Entertainment and Arts (DIMEA). [pdf] [slides]
• Colton, S. (2010). Towards Ontology Use, Re-use and Abuse in a Computational Creativity Collective (A Position Statement). Invited paper in the Proceedings of the Workshop on Modular Ontologies. [pdf]
• Colton, S. (2010). Stroke Matching for Paint Dances. In Proceedings of Computational Aesthetics. [pdf]
• Forth, J., Wiggins, G.A., and McLean, A. (2010). Unifying Conceptual Spaces: Concept Formation in Musical Creative Systems. Minds & Machines (2010) 20:503–532. [pdf ]
• Kennedy, J. and Eberhart, R. (1995). Particle Swarm Optimization. Proceedings of IEEE International Conference on Neural Networks. IV. pp. 1942–1948. [html]
• Mihalcea, R. and Strapparava, C. (2006). Learning to laugh (automatically): Computational models for humor recognition. Computational Intelligence, 22(2):126–142.
• Pachet, F. (2006). Creativity Studies and Musical Interaction. In Deliège, I. and Wiggins, G., editor, Musical Creativity: Multidisciplinary Research in Theory And Practice, Psychology Press. [pdf]
• Rada Mihalcea, Carlo Strapparava (2009). The Lie Detector: Explorations in the Automatic Recognition of Deceptive Language. ACL/AFNLP (Short Papers): 309-312. [pdf]
• K. Binsted , H. Pain, G. Ritchie (1997). Children's evaluation of computer-generated punning riddles.  Pragmatics and Cognition, 5(2), pp.309-358. [rtf]
• Ritchie, G. (2001). Assessing Creativity. In: Wiggins, G.A. (ed.) Proceedings of the AISB’01 Symposium on Artificial Intelligence and Creativity in Arts and Science. pp. 3–11. [pdf]
• G.Ritchie, (2003).  The JAPE riddle generator: technical specification. Informatics Research Report EDI-INF-RR-0158, School of Informatics, University of Edinburgh. [pdf]
• Ritchie, G. (2004). The Linguistic Analysis of Jokes. Routledge, London.
• Stock, O. and Strapparava, C. (2003). Getting serious about the development of computational humour. In Proceedings of the 18th International Joint Conference on Artificial Intelligence (IJCAI-03), Acapulco, Mexico. [pdf]
• Urbano, P. (2009). Stigmergic Coordination of a Group of Artificial Painters. Proceedings of ICAART’09, International Conference on Agents and Artificial Intelligence, Porto, Portugal. [slides]
• Veale, T. (2011). We Can Re-Use It For You Wholesale Serendipity and Objets Trouvés in Linguistic Creativity. In Proceedings of ICCC’2011, the 2nd International Conference on Computational Creativity. [pdf]
• Veale, T. (2011). Creative Language Retrieval: A Robust Hybrid of Information Retrieval and Linguistic Creativity. In Proceedings of the ACL’2011, the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies. [pdf]