2007, ISBN: 9783540922735

Technology is taking us to a world where myriads of heavily networked devices interact with the physical world in multiple ways, and at many levels, from the globalInternetdowntomicroandn… Meer...

Technology is taking us to a world where myriads of heavily networked devices interact with the physical world in multiple ways, and at many levels, from the globalInternetdowntomicroandnanodevices. Manyofthesedevicesarehighly mobile and autonomous and must adapt to the surrounding environment in a totally unsupervised way. A fundamental research challenge is the design of robust decentralized c- puting systemsthat arecapableofoperating in changing environmentsandwith noisy input, and yet exhibit the desired behavior and response time, under c- straints such as energy consumption, size, and processing power. These systems should be able to adapt and learn how to react to unforeseen scenarios as well as to display properties comparable to social entities. The observation of nature has brought us many great and unforeseen concepts. Biological systems are able to handle many of these challenges with an elegance and e?ciency far beyond currenthumanartifacts. Basedonthisobservation,bio-inspiredapproacheshave been proposed as a means of handling the complexity of such systems. The goal is to obtain methods to engineer technical systems, which are of a stability and e?ciency comparable to those found in biological entities. This Special Issue on Biological and Biologically-inspired Communication contains the best papers from the Second International Conference on Bio- Inspired Models of Network, Information, and Computing Systems (BIONET- ICS 2007). The BIONETICS conference aims to bring together researchers and scientistsfromseveraldisciplines incomputerscienceandengineeringwhereb- inspired methods are investigated, as well as from bioinformatics, to deepen the information exchange and collaboration among the di?erent communities. Books > Computer Science eBook, Springer Shop<

2007, ISBN: 9783540922735

Technology is taking us to a world where myriads of heavily networked devices interact with the physical world in multiple ways, and at many levels, from the globalInternetdowntomicroandn… Meer...

Technology is taking us to a world where myriads of heavily networked devices interact with the physical world in multiple ways, and at many levels, from the globalInternetdowntomicroandnanodevices. Manyofthesedevicesarehighly mobile and autonomous and must adapt to the surrounding environment in a totally unsupervised way. A fundamental research challenge is the design of robust decentralized c- puting systemsthat arecapableofoperating in changing environmentsandwith noisy input, and yet exhibit the desired behavior and response time, under c- straints such as energy consumption, size, and processing power. These systems should be able to adapt and learn how to react to unforeseen scenarios as well as to display properties comparable to social entities. The observation of nature has brought us many great and unforeseen concepts. Biological systems are able to handle many of these challenges with an elegance and e?ciency far beyond currenthumanartifacts. Basedonthisobservation,bio-inspiredapproacheshave been proposed as a means of handling the complexity of such systems. The goal is to obtain methods to engineer technical systems, which are of a stability and e?ciency comparable to those found in biological entities. This Special Issue on Biological and Biologically-inspired Communication contains the best papers from the Second International Conference on Bio- Inspired Models of Network, Information, and Computing Systems (BIONET- ICS 2007). The BIONETICS conference aims to bring together researchers and scientistsfromseveraldisciplines incomputerscienceandengineeringwhereb- inspired methods are investigated, as well as from bioinformatics, to deepen the information exchange and collaboration among the di?erent communities., Springer<

ISBN: 9783540922735

Computer Science; Computational Biology/Bioinformatics; Computer Communication Networks; Simulation and Modeling; Algorithm Analysis and Problem Complexity; Computation by Abstract Device… Meer...

Computer Science; Computational Biology/Bioinformatics; Computer Communication Networks; Simulation and Modeling; Algorithm Analysis and Problem Complexity; Computation by Abstract Devices; Probability and Statistics in Computer Science ant algorithms, biology, boolean function, channel capacity, complexity, computational biology, covariance models, database search, evolution, fault-tolerance, gene expression, genetic algorithms, genetic regulatory ne, life sciences, model Books eBook, Springer Nature<

ISBN: 9783540922735

This book contains extended versions of papers presented at the Second International Conference on Bio-Inspired Models of Network, Information, and Computing Systems. They discuss multidi… Meer...

This book contains extended versions of papers presented at the Second International Conference on Bio-Inspired Models of Network, Information, and Computing Systems. They discuss multidisciplinary research in the fields of computer science and life sciences.; PDF; Scientific, Technical and Medical > Biology, life sciences > Life sciences: general issues, Springer Fachmedien Wiesbaden<

ISBN: 9783540922735

Transactions on Computational Systems Biology X: ab 53.49 € eBooks > Sachthemen & Ratgeber > Computer & Internet Springer-Verlag GmbH eBook als pdf, Springer-Verlag GmbH