Theoretical Learning Creators and Creative Scientists

Can creative jobs be performed by machines? Such
questions are in debate, as Learning Endowed Generative Systems threat to invade creative areas by recently
achieving great results in several widely-accepted creative tasks. Computational Creativity has prolifically
provided us with formal tools to address such argument, systematically leaving ”learning” out of the equation. Before that, Formal Learning Theory, also informally known as ”learning in the limit”, allowed to
study some of the limits of learning, yet mainly pinning
these results to the language acquisition and scientific
discovery problems, with no known example of generalized analogies to other more widely accepted creative domains. We will endeavour to explore the parallels between these two currently disparate areas, Computational Creativity and Formal Learning Theory, by
identifying points of contact and clear differences and
expanding both in a convergent joint transdisciplinary
direction. This merged view is believed not only to
spawn new studies in generative models, computability
of learning, and computational creativity but also bring
new insights to some philosophical debates on the relationship between Artificial Intelligence and Computational Creativity and the nature of human creativity.