Sakana AI's Neuroevolution textbook reaches print edition
The book connects neuroevolution theory to the design philosophy behind one of Japan's most-watched AI labs, offering readers the intellectual grounding for Sakana AI's collective-intelligence research. Researchers and engineers interested in evolutionary computation can start with the free online edition before committing to print. With co-authors Risi and Miikkulainen, the coverage spans both classic and current methods in the field.
A Neuroevolution textbook co-authored by Sakana AI founder hardmaru (David Ha) with Sebastian Risi, Yujin Tang and Risto Miikkulainen is now in print.
A free online edition is available, and print copies can be pre-ordered.The book covers evolution-based approaches to intelligence, open-ended creativity and self-organizing systems.
Ha states these ideas directly shaped the founding philosophy of Sakana AI, named after schools of fish adapting collectively.
Our Neuroevolution textbook is finally in print!
Free online edition: https://t.co/3IDTb1remp Pre-order: https://t.co/SUpqBz1HK8
I am incredibly grateful to my co-authors Sebastian Risi, Yujin Tang, and Risto Miikkulainen for making this happen. Neuroevolution is a subject very dear to my heart. It is the field that convinced me that nature has already figured out how to build intelligence: through evolution, collective behavior, and adaptation under constraints.
This idea, that intelligence emerges from evolution operating under constraints rather than unlimited resources, is what eventually led me to founding Sakana AI here in Japan.
The concepts in this book about open-ended creativity and self-organizing systems are exactly what we build at @SakanaAILabs. Our name and logo are inspired by schools of fish moving together, adapting as one. It is the core philosophy of what we build. This book captures the theoretical foundations of that belief.
This report is categorized under AITOP's "Papers" desk. Key entities and technical topics under continuous tracking include Sakana AI, Neuroevolution, open-source models.
Source attribution: curated from David Ha (@hardmaru).
