Bio Inspired Technologies For The Hardware Of Adaptive Systems PDF Download
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Author | : Mircea Gh. Negoita |
Publisher | : Springer Science & Business Media |
Total Pages | : 202 |
Release | : 2009-03-24 |
Genre | : Computers |
ISBN | : 3540769943 |
Download Bio-Inspired Technologies for the Hardware of Adaptive Systems Book in PDF, ePub and Kindle
Evolvable Hardware (EHW) has emerged as a sub-domain of artificial evolution represented by a design methodology (consortium of methods) involving the application of Evolutionary Algorithms (EA) to the synthesis of digital and analogue electronic circuits and systems. Nevertheless, the most benefit for the society and indeed most revolutionizing application of EA is its hardware implementation leading to the EHW. These new EA based methodologies led to a new type of machines that is evolved to attain a desired behaviour, which means they have a behavioural computational intelligence. EHW is a special case of the adaptive hardware, namely being strongly related to the Adaptive Systems (AS) and the Adaptive Hardware (AH). The book presents a careful selection of the field that very well reflects the breadth of this high technology and its terminology and applications in context of the AS/AH. The harmonious symbiosis of the engineering approach and the accurate scientific methodology features the aspects of highly relevant and practical design principles governing the development of EHW and its connections with AS/AH. This book is both attractive and useful for everybody interested in the design and analysis of EHW in context of AS/AH and implementation of real time adaptive hardware hybrid intelligent systems.
Author | : Mircea Gh. Negoita |
Publisher | : Springer |
Total Pages | : 202 |
Release | : 2009-01-21 |
Genre | : Computers |
ISBN | : 3540769951 |
Download Bio-Inspired Technologies for the Hardware of Adaptive Systems Book in PDF, ePub and Kindle
Evolvable Hardware (EHW) has emerged as a sub-domain of artificial evolution represented by a design methodology (consortium of methods) involving the application of Evolutionary Algorithms (EA) to the synthesis of digital and analogue electronic circuits and systems. Nevertheless, the most benefit for the society and indeed most revolutionizing application of EA is its hardware implementation leading to the EHW. These new EA based methodologies led to a new type of machines that is evolved to attain a desired behaviour, which means they have a behavioural computational intelligence. EHW is a special case of the adaptive hardware, namely being strongly related to the Adaptive Systems (AS) and the Adaptive Hardware (AH). The book presents a careful selection of the field that very well reflects the breadth of this high technology and its terminology and applications in context of the AS/AH. The harmonious symbiosis of the engineering approach and the accurate scientific methodology features the aspects of highly relevant and practical design principles governing the development of EHW and its connections with AS/AH. This book is both attractive and useful for everybody interested in the design and analysis of EHW in context of AS/AH and implementation of real time adaptive hardware hybrid intelligent systems.
Author | : John Wade |
Publisher | : Frontiers E-books |
Total Pages | : 140 |
Release | : 2014-03-21 |
Genre | : |
ISBN | : 2889191788 |
Download Biophysically based Computational Models of Astrocyte ~ Neuron Coupling and their Functional Significance Book in PDF, ePub and Kindle
Neuroscientists are increasingly becoming more interested in modelling brain functions where capturing the biophysical mechanisms underpinning these functions requires plausible models at the level of neuron cells. However, cell level models are still very much in the embryo stage and therefore there is a need to advance the level of biological realism at the level of neurons/synapses. Recent publications have highlighted that astrocytes continually exchange information with multiple synapses; if we are to fully appreciate this dynamic and coordinated interplay between these cells then more research on bidirectional signalling between astrocytes and neurons is required. A better understanding of astrocyte-neuron cell coupling would provide the building block for studying the regulatory capability of astrocytes networks on a large scale. For example, it is believed that local and global signalling via astrocytes underpins brain functions like synchrony, learning, memory and self repair. This Research Topic aims to report on current research work which focuses on understanding and modelling the interaction between astrocytes and neurons at the cellular level (Bottom up) and at network level (Top down). Understanding astrocytic regulation of neural activity is crucial if we are to capture how information is represented and processed across large neuronal ensembles in humans.
Author | : Yoseph Bar-Cohen |
Publisher | : CRC Press |
Total Pages | : 579 |
Release | : 2005-11-02 |
Genre | : Medical |
ISBN | : 1420037714 |
Download Biomimetics Book in PDF, ePub and Kindle
Nature is the world's foremost designer. With billions of years of experience and boasting the most extensive laboratory available, it conducts research in every branch of engineering and science. Nature's designs and capabilities have always inspired technology, from the use of tongs and tweezers to genetic algorithms and autonomous legged robots.
Author | : Dario Floreano |
Publisher | : MIT Press |
Total Pages | : 674 |
Release | : 2023-04-04 |
Genre | : Computers |
ISBN | : 0262547732 |
Download Bio-Inspired Artificial Intelligence Book in PDF, ePub and Kindle
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.
Author | : Hanning Chen |
Publisher | : |
Total Pages | : |
Release | : 2017-04-15 |
Genre | : |
ISBN | : 9780692858097 |
Download Bio-Inspired Computation and Complex Adaptive System in Engineering Book in PDF, ePub and Kindle
Author | : Moshe Sipper |
Publisher | : McGraw-Hill Companies |
Total Pages | : 280 |
Release | : 2002 |
Genre | : Business & Economics |
ISBN | : |
Download Machine Nature Book in PDF, ePub and Kindle
Computer scientist Moshe Sipper takes readers on a thrilling journey to the terra nova of computing to provide a compelling look at cutting-edge computers, robots, and machines now and in the decades ahead.
Author | : Eugene C. Goldfield |
Publisher | : Harvard University Press |
Total Pages | : 424 |
Release | : 2018-01-08 |
Genre | : Technology & Engineering |
ISBN | : 0674981936 |
Download Bioinspired Devices Book in PDF, ePub and Kindle
Eugene Goldfield lays out principles of engineering found in the natural world, with a focus on how components of coordinated structures organize themselves into autonomous functional systems. This self-organizing capacity is one of many qualities which can be harnessed to design technologies that can interact seamlessly with human bodies.
Author | : Arthur James Wells |
Publisher | : |
Total Pages | : 1922 |
Release | : 2009 |
Genre | : Bibliography, National |
ISBN | : |
Download The British National Bibliography Book in PDF, ePub and Kindle
Author | : Tsutomu Miki |
Publisher | : World Scientific |
Total Pages | : 245 |
Release | : 2001 |
Genre | : Computers |
ISBN | : 9812810250 |
Download Brainware Book in PDF, ePub and Kindle
The human brain, the ultimate intelligent processor, can handle ambiguous and uncertain information adequately. The implementation of such a human-brain architecture and function is called OC brainwareOCO. Brainware is a candidate for the new tool that will realize a human-friendly computer society. As one of the LSI implementations of brainware, a OC bio-inspiredOCO hardware system is discussed in this book. Consisting of eight enriched versions of papers selected from IIZUKA ''98, this volume provides wide coverage, from neuronal function devices to vision systems, chaotic systems, and also an effective design methodology of hierarchical large-scale neural systems inspired by neuroscience. It can serve as a reference for graduate students and researchers working in the field of brainware. It is also a source of inspiration for research towards the realization of a silicon brain. Contents: Neuron MOS Transistor: The Concept and Its Application (T Shibata); Adaptive Learning Neuron Integrated Circuits Using Ferroelectric-Gate FETs (S-M Yoon et al.); An AnalogOCoDigital Merged Circuit Architecture Using PWM Techniques for Bio-Inspired Nonlinear Dynamical Systems (T Morie et al.); Application-Driven Design of Bio-Inspired Low-Power Vision Circuits and Systems (A KAnig et al.); Motion Detection with Bio-Inspired Analog MOS Circuits (H Yonezu et al.); cents MOS Cellular-Automaton Circuit for Picture Processing (M Ikebe & Y Amemiya); Semiconductor Chaos-Generating Elements of Simple Structure and Their Integration (K Hoh et al.); Computation in Single Neuron with Dendritic Trees (N Katayama et al.). Readership: Graduate students, researchers and industrialists in artificial intelligence, neural networks, machine perception, computer vision, pattern/handwriting recognition, image analysis and biocomputing."