Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies

A comprehensive introduction to new approaches in artificial intelligence and robotics that are inspired by self-organizing biological processes and structures.

New approaches to artificial intelligence spring from the idea that intelligence emerges as much from cells, bodies, and societies as it does from evolution, development, and learning. Traditionally, artificial intelligence has been concerned with reproducing the abilities of human brains; newer approaches take inspiration from a wider range of biological structures that that are capable of autonomous self-organization. Examples of these new approaches include evolutionary computation and evolutionary electronics, artificial neural networks, immune systems, biorobotics, and swarm intelligence--to mention only a few. 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, including behavior-based, bio-mimetic, epigenetic, and evolutionary robots; and collective systems, including swarm robotics as well as cooperative and competitive co-evolving systems. Chapters end with a concluding overview and suggested reading.

一本全面介紹受自組織生物過程和結構啟發的人工智慧和機器人新方法的書籍。

新的人工智慧方法源於一個觀點，即智慧不僅來自於細胞、身體和社會，也來自於演化、發展和學習。傳統上，人工智慧關注於重現人類大腦的能力；而新的方法則從更廣泛的生物結構中獲得靈感，這些結構能夠自主自組織。這些新方法的例子包括演化計算和演化電子學、人工神經網絡、免疫系統、生物機器人和群體智能等等。本書全面介紹了生物啟發的人工智慧新興領域，可作為高級教材或研究人員的參考。每一章節都介紹了受不同生物系統啟發的計算方法；每一章節都以有關生物系統的背景信息開始，然後發展出利用生物概念的計算模型。這些章節涵蓋了演化計算和電子學；細胞系統；神經系統，包括神經形態工程；發展系統；免疫系統；行為系統，包括幾種機器人方法，如基於行為、仿生、表觀遺傳和演化機器人；以及集體系統，包括群體機器人以及合作和競爭共進化系統。章節結束時提供總結和建議閱讀。

Dario Floreano is Director of the Laboratory of Intelligent Systems at the Swiss Federal Institute of Technology Lausanne (EPFL). He is the coauthor of Evolutionary Robotics and Bio-Inspired Artificial Intelligence (both published by the MIT Press).

Claudio Mattiussi is an independent researcher. His research interests include computational intelligence, probabilistic engineering, and the consistent numerical formulation of physical field problems.

Dario Floreano是瑞士洛桑聯邦理工學院（EPFL）智能系統實驗室的主任。他是《Evolutionary Robotics》和《Bio-Inspired Artificial Intelligence》（均由MIT Press出版）的合著者。Claudio Mattiussi是一位獨立研究者。他的研究興趣包括計算智能、概率工程和物理場問題的一致數值表述。