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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.
- Sales Rank: #1049660 in Books
- Published on: 2008-08-22
- Original language: English
- Number of items: 1
- Dimensions: 9.00" h x 1.13" w x 8.00" l, 3.06 pounds
- Binding: Hardcover
- 659 pages
Review
Competent, lucid, well-written, Bio-Inspired Artificial Intelligence contains precisely the material you want from a comprehensive textbook, with many highly informative examples from biology, engineering, and computing. This book has the potential to become the new standard in the artificial intelligence field.
(Rolf Pfeifer, Director, Artificial Intelligence Laboratory, University of Zurich)Bio-Inspired Artificial Intelligence brings together all the things I've been interested in for the last 25 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)The vast majority of this book is very accessible, engaging to read and easy to follow. It is definitely a good introduction for anybody interested in biologically inspired artificial intelligence. In summary, Floreano and Mattiussi deliver a great book that I highly recommend.
(Ivan Garibay Genetic Programming and Evolvable Machines) About the Author
Dario Floreano is Director of the Laboratory of Intelligent Systems at the Swiss Federal Institute of Technology in Lausanne (EPFL). He is the coauthor of Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines (MIT Press, 2000).
Claudio Mattiussi is an independent researcher. His interests include evolutionary computation, evolutionary electronics, artificial immune systems, cellular systems, developmental systems, machine learning, probabilistic and bio-inspired intelligence and engineering, and the consistent numerical formulation of physical field problems
Most helpful customer reviews
13 of 15 people found the following review helpful.
A very cohearent covering of a large territory understandable even to a layperson
By Gabriel Falco
[...]
Concepts detailed in this text have become pillars of my thinking. Every year I purchase several textbooks to educate myself on topics that interest me. Bio-Inspired Artificial Intelligence balances delivering conceptual detail with real world integrated examples to aid in deep and successful comprehension of the topics. The text answers questions, informs and prompts one ask broader questions. Incredibly, it is actually very enjoyable to read; I think this may have to do with the good writing.
6 of 6 people found the following review helpful.
Perfect
By Y. Jeong
As an A.I. developer myself, I have to admit this book is perfect. This book summarizes countless journal papers from biological to computer science journals. It gives you the research trend and how they missed something and what kind of A.I. you could develop for your own project.
If you want to develop something they completely missed, you need this book and read through entire chapters. This would be better than download and read hundred-hundred papers from IEEE or any journal publishers.
4 of 4 people found the following review helpful.
Excellent textbook
By Ricard Vicente Sole
This is the kind of book you expect to find when you buy it. A complete, concise, well-written
and clever presentation of the field. The authors have made a terrific job and I strongly recommend you this book as one of the best (probably the best) introduction to this topic. Figures and explanations are very well chosen and the level is easy to follow. 5 starts!!
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