Artificial Life Models in Hardware

Andrew Adamatzky

ISBN 10: 1848825293 / ISBN 13: 9781848825291

Verlag: Springer, 2009

Beschreibung

Clean and sharp, no marks noted to text. A light moisture stain to bottom of fore-edge of pages, not affecting the text or the way the pages turn. A nice copy overall. Index, 267 pp.

Bestandsnummer des Verkäufers 001386

Bibliografische Details

• Titel: Artificial Life Models in Hardware
• Verlag: Springer
• Erscheinungsjahr: 2009
• Sprache: Englisch
• ISBN-10: 1848825293
• ISBN-13: 9781848825291
• Einband: Hardcover
• Zustand: Near Fine
• Zustand des Schutzumschlags: No Jacket
• Buchtyp: Book

Über diesen Titel

Inhaltsangabe

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.

Von der hinteren Coverseite

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.