Abstract
We argue that the lack of well established reporting practices for applied Computational Creativity systems is hindering progress in the field. We consider that the current lack of reporting details – and variation in form and content – makes it difficult for third parties to reliably evaluate and compare systems based on pub-licly available information. This hinders forming an un-derstanding of the similarities, differences and relative qualities of these systems. We propose a set of building blocks for robustly reporting the contributions of computationally creative systems to promote visibility and clarity in the field.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the Thirteenth International Conference on Computational Creativity |
| Editors | Maria M. Hedblom, Anna Aurora Kantosalo, Roberto Confalonier, Oliver Kutz , Tony Veale |
| Number of pages | 5 |
| Publisher | Association for Computational Creativity |
| Publication date | 2022 |
| Pages | 374-378 |
| ISBN (Electronic) | 978-989-54160-4-2 |
| Publication status | Published - 2022 |
| MoE publication type | A4 Article in conference proceedings |
| Event | International Conference on Computational Creativity - Bozen-Bolzano, Italy Duration: 27 Jun 2022 → 1 Jul 2022 Conference number: 13 |
Fields of Science
- 113 Computer and information sciences
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