We are pleased to announce a new interview series exploring the philosophical implications of Artificial Intelligence (AI). The rapid development of AI has reignited interest in fundamental questions of consciousness and agency. Previously confined to theoretical discourse, these issues now demand re-evaluation in light of AI’s burgeoning capabilities. In this …
Commentary from Tina Röck on today’s post from Mazviita Chirimuuta on The Brain Abstracted (MIT Press). One way to read this book is to consider it a discussion of the limitations in our ability to understand hyper-complex, dynamic objects like the brain. In her more metaphysical chapters (2 and 8), …
Post 5 of 5 from Mazviita Chirimuuta on The Brain Abstracted (Open Access: MIT Press). The last of this series of posts summarises the conclusions regarding philosophy of science more generally that emerge from this study of simplification in neuroscience. The question of realism may have already occurred to you. …
Commentary from Dimitri Coelho Mollo on today’s post from Mazviita Chirimuuta on The Brain Abstracted (MIT Press). I was lucky to have had the chance to discuss this brilliant book with Mazviita Chirimuuta and others while it was still in preparation, and I’m looking forward to exchanging ideas about it …
Post 4 of 5 from Mazviita Chirimuuta on The Brain Abstracted (Open Access: MIT Press). A central claim of the book is that recognition of the challenge of brain complexity — how it places pressure on scientists to devise experimental methods, theories and models, which drastically cut down the apparent …
Commentary from Carrie Figdor on today’s post from Mazviita Chirimuuta on The Brain Abstracted (MIT Press). The animating idea of Chirimuuta’s book is that science, and neuroscience in particular, must engage in simplification in order to explain a complex world. The epistemic dangers of taking the outcomes of simplification strategies …
Post 3 of 5 from Mazviita Chirimuuta on The Brain Abstracted (Open Access: MIT Press). In the previous post I described how the literal interpretation of neurocomputational models encourages us to attend only to the perceived commonalities between brains and computers and to relegate the differences to the periphery of …
