Transactions on Computational Systems Biology X
Seiten
2008
|
2008
Springer Berlin (Verlag)
978-3-540-92272-8 (ISBN)
Springer Berlin (Verlag)
978-3-540-92272-8 (ISBN)
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.
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.
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.
Biological and Biologically-Inspired Communication.- Towards a Self-structured Grid: An Ant-Inspired P2P Algorithm.- Robustness to Code and Data Deletion in Autocatalytic Quines.- A Computational Scheme Based on Random Boolean Networks.- On Channel Capacity and Error Compensation in Molecular Communication.- Molecular Communication through Gap Junction Channels.- Clustering Time-Series Gene Expression Data with Unequal Time Intervals.- Integrating Thermodynamic and Observed-Frequency Data for Non-coding RNA Gene Search.- An Evolutionary Approach to the Non-unique Oligonucleotide Probe Selection Problem.- Stochastic ?-Calculus Modelling of Multisite Phosphorylation Based Signaling: The PHO Pathway in Saccharomyces Cerevisiae.
| Erscheint lt. Verlag | 18.12.2008 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science | Transactions on Computational Systems Biology |
| Zusatzinfo | VII, 197 p. |
| Verlagsort | Berlin |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 323 g |
| Themenwelt | Informatik ► Weitere Themen ► Bioinformatik |
| Naturwissenschaften ► Biologie | |
| Schlagworte | Algorithm analysis and problem complexity • Ant Algorithms • Bioinformatics • Biology • boolean function • Carbon Nanotubes • Channel capacity • Clustering • Complexity • Computational Biology • covariance models • database search • Evolution • Fault-Tolerance • gene expression • Genetic algorithms • genetic regulatory ne • genetic regulatory networks • GRID • Hardcover, Softcover / Informatik, EDV/Anwendungs-Software • HC/Informatik, EDV/Anwendungs-Software • Heuristics • Hybridization • Immune Systems • information system • Information Theory • Life Sciences • microarrays • Model • molecular communication • Nanomachines • Optimization • Pathways • Peer-to-Peer • Phenotype • Pi-calculus • process calculi • signal transduction • Statistical Methods • Stochastic Processes • systems biology • time series data |
| ISBN-10 | 3-540-92272-5 / 3540922725 |
| ISBN-13 | 978-3-540-92272-8 / 9783540922728 |
| Zustand | Neuware |
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