“Human consciousness is unlike all other varieties of animal consciousness in that it is a product in large part of cultural evolution . . . creating thereby a cognitive architecture unlike the ‘bottom-up’ minds of animals. . . . [T]his architecture furnishes each of us with . . . a user-illusion”. As philosopher Daniel Dennett […]Read More Human consciousness is an illusion.
In 2010 I wrote my M.Phil thesis at the Higher Technical School of Architecture of San Sebastian about the relationship between skateboarding in the streets and the effects of this youthful activity in contemporary urban-development. Titled “Live Free or Die Trying: Skateboarding as an Urban Countercultural Tool” (available in spanish here), I tried to show […]Read More Embodied Cognition and Lifestyle Sports.
Should philosophy today keep trying to answer the questions for which the neurosciences have better explanations? Neurophilosophers believe that to understand the mind we must understand the brain using evidence from neuroscience. Many philosophers and intelectuals strongly disagree with this proposal since it uses science and not introspection as a method to acquire knowledge, and this […]Read More Neuroscience killed the philosophy star.
Edmond de Belamy is a 2018 painting created using a type of Artificial Intelligence algorithms called Generative Adversarial Networks. The work which is part of a series of images titled La Famille de Belamy -made by french collective Obvious– was expected to be sold for $7,000-$10,000 at Christie’s auction house in New York, however the painting […]Read More Who is Edmond de Bellamy?
“Why is it so much harder to appreciate that thinking is an aspect of the brain, that also could be described, in principle, in terms of the self-same physical laws? The answer is that minds do not seem physical to us because we know so little of the processes inside brains. (…) A related reason […]Read More Minds are simply what brains do.
Recently I wrote about Generative Adversarial Networks, a revolutionary class of AI algorithms used in unsupervised Machine Learning, and their importat relation with the research in Computational Creativity. This type of framework for the design of Artificial Intelligences was invented by Ian Goodfellow in 2014. The system consist of one network that generates new data after learning from a training […]Read More Machine Learning as Art Practice.
Computational Creativity is a new academic field devoted to the study and modeling of computational processes that achieve creative tasks. Its main duties are the study of computational models of (human) creativity, designing artificially creative systems, and also to deploy computational systems for supporting creativity. Understanding brain processes behind creativity and modeling them using computational means […]Read More The machine will have the idea…