Séminaire Carlos M. Fernandes

Mercredi 13 Mai 2015 (14h00, salle G001)

Carlos M. Fernandes, Institut supérieur technique de Lisbonne.

Titre : Hidden Landscapes: Art, Science and Computational Creativity.

Résumé : Guided by the vertiginous pace of technology that significantly increased the computational power by the end of the 20th century, complexity sciences have been trying to explain the working mechanisms and behavior of systems with non-linear interactions and emergent global patterns. These complex systems are observed in a wide range of fields, such as artificial intelligence, biology or neuroscience, and they have inspired several metaheuristics. Due to some of its traits (non-linearity, emergent behavior, self-organization), complex systems have also entered the realm of visual arts, raising the interest of artists and theorists, because of their aesthetical qualities and philosophical challenges.

In short, complexity is giving us a compelling set of tools and practices that are enhancing not only our knowledge of nature, but also contributing to broaden our creative horizons. Such applications of artificial life and bio-inspired computation in the realm of arts are usually classified within a larger category called artificial art. This project is mainly focused on swarm intelligence models and algorithms, their use as creative direction and their potentiality as hubs of distributed creativity. In particular, the research is routed towards models of stigmergic behavior and cooperation amongst simple units that are able to interact with different types of environment, and also with each other via the environment. The graphical representation the environments can display some of the most relevant properties of the systems, such as self-organization, memory and adaptability to changes. Although creativity and artistic practice are the central aspects to this project, the study is, by its own nature, placed in the blurred region between art and science, not only because of the technical mechanisms of the models, but also because we privilege data structures that are extracted from other complex systems, such as the brain.