At Computational Creativity Group (CCG) of the Department of Computing, Imperial College London, UK take place once at week the Computational Bioinformatics Group Seminars.
On June 2nd, Eurídice Cabañes, at the beginning of her research in Artificial Intelligence and as part of her doctoral research stay under the tutelage of Simon Colton at this same institution, presented her research project:
Synesthetic computational creativity: A Philosophical Research
We consider that synesthesia can be a good model for computational creativity, first, because if creativity consists of establishing new relationships between old ideas or works, by using synesthesia we can extend these possible relationships. This allows them to be established in different perceptual and conceptual worlds, and thus are not completely random because they follow a pattern and can be modalized. Secondly, if we understand that part of the social validation of an artistic work is related to the feelings that this work produces in the viewer, using synesthesia we can find the relationships between colours, notes, rhythm, forms, etc. and feelings, and for this reason, generate computational creativity systems able to generate specific feelings.
We propose generate a synesthetic creativity program using computer games to harness the synesthetic and aesthetic human potential to make the machine training process a task easier and – why not – more fun.
CREATIVIDAD ARTIFICIAL: Cuestionando los límites humano/artificial
Creadores Artificiales: la creatividad más allá de lo humano
IV Congreso Internacional de Sinestesia, Ciencia y Arte. Actas Programa Científico