Description
Can machines perform creative jobs? Such questions are indebate, as Learning Endowed Generative Systems threat to invade creative areas by recently achieving great results in several widely-accepted
creative tasks. While Computational Creativity has prolifically provided
us with formal tools to address such argument, systematically leaving
the learning component out of the equation, Formal Learning Theory,
allowed to study some of the limits of learning, yet mainly pinning these
results to the language acquisition and scientific discovery problems, instead of other more widely accepted creative domains. We will endeavour
to explore the parallels between these two currently disparate formal areas 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 to bring
new insights to some philosophical debates on the relationship between
Artificial Intelligence and Computational Creativity and the nature of
human creativity.
| Period | 31 Aug 2022 |
|---|---|
| Event type | Conference |
| Location | Lisbon, Portugal |
| Degree of Recognition | International |