Johannes Korbmacher Host

My name is Johannes Korbmacher and I'm a temporary lecturer in theoretical philosophy at the Department of Philosophy and Religious Studies of Utrecht University. Before I came to Utrecht last year, I did my PhD at the Munich Center for Mathematical Philosophy of LMU Munich.

My work is mainly in philosophical logic, but I've got an active interest in metaphysics, formal epistemology, philosophy of language, and the philosophy of mathematics, as well. A common theme in my work is that I use logical and mathematical methods to tackle classical philosophical problems (I do have a little background in math as well).

At Utrecht University, I've so far taught courses on logic, philosophy of language, and philosophy of science and epistemology. I'm very much looking forward to the symposium, I'm sure it will be great!

Eelco den Heijer Speaker

Bio

Eelco den Heijer started programming at the age of 10 and never stopped since. He has a strong interest in modern art and electronic music in all its forms. He studied Cognitieve Kunstmatige Intelligentie at Utrecht University and organised the first ever CKI symposium (which was great, it was the best...).

Furthermore, Eelco performed research into the use of computational aesthetics and genetic programming to evolve art without human involvement, and obtained a PhD at VU University in 2013. Eelco does a lot of creative coding projects on visual arts, algorithmic composition and generative poetry.

Talk

Eelco's talk will be a mix of theory and practice, and will include a number of examples of the use of computers in the creative process.

Jeroen van der Most Speaker

Bio

Dutch Artist Jeroen van der Most combines creativity with data, algorithms, and artificial intelligent systems in mind-boggling art pieces. His artworks have been called old masters with a high tech twist. They include calculations of Van Gogh's next painting, the Average Rembrandt, and magical tulip fields built up of infinite amounts of metaphorical images. His art pieces were covered by Dutch and global media on a large number of occasions and are exhibited in galleries and museums. As an art critic Van der Most reviewed art for media like BNR, Sublime FM, and At5. Van der Most creates artworks autonomously but also developed pieces for organizations like the Dutch Aids Foundation, Ramada Hotels, and NVM / Funda.

Talk

Consider three art pieces: 1) Vermeer's Milkmaid, 2) a tableware still life by Van Gogh, 3) a Warhol soup can. Pick the one that strikes you most... Choices will vary greatly. Today the artworks are considered to be some of the best ever. Although the pieces seem distinct and are made by very different artists, they also have something in common. Each one makes us look at the ordinary with new eyes, however it is their form and maker that makes them distinct. In a near future, computer technology and in particular AI, will change this. A single piece of art will exist in multiple forms. All three artworks could be just one with flexible form. Most likely, such a future artwork will also no longer be created by one artist, but by multiple makers. Including yourself!

Stefan Leijnen Speaker

Bio

Stefan Leijnen teaches and does research into artificial intelligence at the Amsterdam University of Applied Sciences. His primary research interests are self-organization, creativity and teleology, particularly in the context of deep learning and other generative computational methods. He is founder of the Asimov Institute, an independent research institute aiming to develop technological tools for creativity and control of machine learning systems.

Talk

Recent years have seen a number of breakthroughs showing a renewed interest in the possibilities of creative machines. Game-playing agents developed by Google Deep Mind come up with surprisingly original solutions. Using deep learning tools, anyone can make a painting in the style of a famous artist. New tools are being developed inspire and guide designers and artists. In this talk we will look at what happens when machine learning is applied in the creative industries, consider whether these systems qualify as creative, and discuss further steps towards artificial creativity.