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  1. On Two Desiderata for Creativity Support Tools‏‎ (12:38, 14. Nov. 2015)
  2. Computational Creativity 2010 ICCC 2010‏‎ (12:39, 14. Nov. 2015)
  3. Domain Bridging Associations Support Creativity‏‎ (12:40, 14. Nov. 2015)
  4. Measuring Creativity In Software Development‏‎ (12:42, 14. Nov. 2015)
  5. A Fitness Function for Creativity in Jazz Improvisation and Beyond‏‎ (12:43, 14. Nov. 2015)
  6. Experiments in Objet Trouve Browsing‏‎ (12:46, 14. Nov. 2015)
  7. Evolving Expression of Emotions Through Color In Virtual Humans Using Genetic Algorithms‏‎ (12:47, 14. Nov. 2015)
  8. The Evolution of Fun: Automatic Level Design Through Challenge Modeling‏‎ (12:49, 14. Nov. 2015)
  9. The Painting Fool Teaching Interface‏‎ (12:50, 14. Nov. 2015)
  10. A Visual Language for Darwin‏‎ (12:52, 14. Nov. 2015)
  11. Swarm Painting Atelier‏‎ (12:53, 14. Nov. 2015)
  12. 09291 Abstracts Collection -- Computational Creativity: an interdisciplinary approach‏‎ (13:21, 14. Nov. 2015)
  13. 09291 Summary -- Computational Creativity: an interdisciplinary approach‏‎ (13:23, 14. Nov. 2015)
  14. Against Individual Creativity‏‎ (13:24, 14. Nov. 2015)
  15. Artificial Creative Systems: Completing the Creative Cycle‏‎ (13:24, 14. Nov. 2015)
  16. Artificial Life Meets Computational Creativity?‏‎ (22:44, 14. Nov. 2015)
  17. Autonomy, Signature and Creativity‏‎ (22:46, 14. Nov. 2015)
  18. Casually Evolving Creative Technology Systems‏‎ (22:47, 14. Nov. 2015)
  19. Computational Artistic Creativity and its Evaluation‏‎ (23:01, 14. Nov. 2015)
  20. Computational Creativity through a Gap‏‎ (23:01, 14. Nov. 2015)
  21. Dagstuhl Seminar 09291 2009: Computational Creativity: An Interdisciplinary Approach‏‎ (23:02, 14. Nov. 2015)
  22. Creative Agency: A Clearer Goal for Artificial Life in the Arts Dagstuhl‏‎ (23:03, 14. Nov. 2015)
  23. Creative Computers, Improvisation and Intimacy‏‎ (23:03, 14. Nov. 2015)
  24. Creative Ecosystems 2009‏‎ (23:03, 14. Nov. 2015)
  25. Driven by Compression Progress: A Simple Principle Explains Essential Aspects of Subjective Beauty, Novelty, Surprise, Interestingness, Attention, Curiosity, Creativity, Art, Science, Music, Jokes‏‎ (23:04, 14. Nov. 2015)
  26. Embodied creativity‏‎ (23:05, 14. Nov. 2015)
  27. Ideas and Tools in Material Space - an extended spatial model of creativity‏‎ (23:05, 14. Nov. 2015)
  28. Improbable Creativity‏‎ (23:06, 14. Nov. 2015)
  29. In Praise of Evolution and Opacity‏‎ (23:06, 14. Nov. 2015)
  30. Live Algorithms‏‎ (23:07, 14. Nov. 2015)
  31. The Creative Mind: Myths and Mechanisms Dagstuhl‏‎ (23:07, 14. Nov. 2015)
  32. Seven Catchy Phrases for Computational Creativity Research‏‎ (23:08, 14. Nov. 2015)
  33. Simulating Morphogenesis‏‎ (23:08, 14. Nov. 2015)
  34. Stimulating creative flow through computational feedback‏‎ (23:09, 14. Nov. 2015)
  35. Strategies for creating new informational primitives in minds and machines‏‎ (23:11, 14. Nov. 2015)
  36. The Art of Self-Assembly: the Self-Assemby of Art‏‎ (23:12, 14. Nov. 2015)
  37. Thoughts on Computational Creativity Position‏‎ (23:14, 14. Nov. 2015)
  38. Feature Discovery by Deep Learning for Aesthetic Analysis of Evolved Abstract Images‏‎ (14:39, 15. Nov. 2015)
  39. Avoidance Drawings Evolved Using Virtual Drawing Robots‏‎ (14:57, 15. Nov. 2015)
  40. Evotype: Evolutionary Type Design‏‎ (15:11, 15. Nov. 2015)
  41. Interior Illumination Design Using Genetic Programming‏‎ (21:11, 15. Nov. 2015)
  42. Evolving Diverse Design Populations Using Fitness Sharing and Random Forest Based Fitness Approximation‏‎ (22:11, 15. Nov. 2015)
  43. Biological Content Generation: Evolving Game Terrains Through Living Organisms‏‎ (22:18, 15. Nov. 2015)
  44. DrawCompileEvolve: Sparking Interactive Evolutionary Art with Human Creations‏‎ (22:40, 15. Nov. 2015)
  45. A self organizing map based method for understanding features associated with high aesthetic value evolved abstract images‏‎ (13:21, 16. Nov. 2015)
  46. Semantics and aesthetics inference for image search: statistical learning approaches‏‎ (13:42, 16. Nov. 2015)
  47. Detecting people in cubist art‏‎ (13:54, 16. Nov. 2015)
  48. Rapid: Rating pictorial aesthetics using deep learning‏‎ (20:49, 16. Nov. 2015)
  49. Generation and evaluation of artworks‏‎ (13:41, 17. Nov. 2015)
  50. Aesthetic image rating (AIR) algorithm‏‎ (13:57, 17. Nov. 2015)

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