A new book recently came out explaining how to apply biologically inspired AI to games. It covers the classics in computational intelligence such as genetic algorithms, neural networks, artificial immune systems and particle swarm optimizations — not forgetting underrated techniques like reinforcement learning, independent component analysis, and radial basis functions.
I found out about the book via the Learning Games blog by Daniel Livingstone, who co-authored the book. As a disclaimer, I was asked to write the foreword for this book over 2 years ago (posted below), but the content has changed significantly since then. It’s great to see this book finally hitting the shelves!