This book offers a comprehensive introduction to the emerging field of biologically inspired artificial intelligence that can be used as an upper-level text or as a reference for researchers.

Each chapter presents computational approaches inspired by a different biological system; each begins with background information about the biological system and then proceeds to develop computational models that make use of biological concepts.

The chapters cover evolutionary computation and electronics; cellular systems; neural systems, including neuromorphic engineering; developmental systems, immune systems; behavioral systems — including several approaches to robotics, such as behavior-based, biomimetic, epigenetic, and evolutionary robots; and collective systems, including swarm robotics as well as cooperative and competitive coevolving systems. Chapters end with a concluding overview and suggested reading.“Bio-Inspired Artificial Intelligence brings together all the things I’ve been interested in for the last twenty-five years, and surprises me by providing a coherent intellectual framework for them all.

" This book is a treasure trove of history from Darwin to Gibson and Walter, an unambiguous tutorial on how to build a plethora of computational models, and a healthy exploration of the philosophies that have driven wide-ranging research agendas.”

–Rodney Brooks
Panasonic Professor of Robotics,
Department of Electrical Engineering and Computer Science, MIT