Artificial Life Models in Hardware

Artificial Life Models in Hardware
Author: by Andrew Adamatzky (Editor), Maciej Komosinski (Editor)
Publisher: Springer
Edition: 2009th
Publication Date: 2009-06-18
Language: English
Print Length: 286 pages
ISBN-10: 1848825293
ISBN-13: 9781848825291


Book Description

Hopping, climbing and swimming robots, nano-size neural networks, motorless walkers, slime mould and chemical brains - "Artificial Life Models in Hardware" offers unique designs and prototypes of life-like creatures in conventional hardware and hybrid bio-silicon systems. Ideas and implementations of living phenomena in non-living substrates cast a colourful picture of state-of-art advances in hardware models of artificial life.

Review

From the reviews:

"This book presents various contributions to the construction of life-like artifacts that globally show adaptation and evolution, as in the artificial life paradigm. … The book is unique in that it attempts to mix various ideas on building artificial life in hardware … . the book moves toward new methods and tools that represent the cutting edge of research. … this book is appropriate for research; in the long term, it can serve as a reference." (G. Gini, ACM Computing Reviews, November, 2009)


From the Back Cover

Hopping, climbing and swimming robots, nano-size neural networks, motorless walkers, slime mould and chemical brains --- this book offers unique designs and prototypes of life-like creatures in conventional hardware and hybrid bio-silicon systems. Ideas and implementations of living phenomena in non-living substrates cast a colourful picture of state-of-the-art advances in hardware models of artificial life.

Focusing on topics and areas based on non-traditional thinking, and new and emerging paradigms in bio-inspired robotics, this book has a unifying theme: the design and real-world implementation of artificial life robotic devices.

Students and researchers will find this coverage of topics such as robotic energy autonomy, multi-locomotion of robots, biologically inspired autonomous robots, evolution in colonies of robotic insects, neuromorphic analog devices, self-configurable robots, and chemical and biological controllers for robots, will considerably enhance their understanding of the issues involved in the development of not-traditional hardware systems at the cusp of artificial life and robotics.

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