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Advances in Biologically Inspired Information Systems: Models, Methods, and Tools 1st ed. 2007. Corr. 2nd printing 2009 [Hardback]

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  • Formāts: Hardback, 302 pages, height x width: 235x155 mm, weight: 1380 g, XII, 302 p., 1 Hardback
  • Sērija : Studies in Computational Intelligence 69
  • Izdošanas datums: 09-Jul-2007
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3540726926
  • ISBN-13: 9783540726920
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  • Formāts: Hardback, 302 pages, height x width: 235x155 mm, weight: 1380 g, XII, 302 p., 1 Hardback
  • Sērija : Studies in Computational Intelligence 69
  • Izdošanas datums: 09-Jul-2007
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3540726926
  • ISBN-13: 9783540726920
Citas grāmatas par šo tēmu:
Technology is taking us to a world where myriads of heavily networked devices interact with the physical world in multiple ways and at multiple scales, from the global Internet down to micro and nano devices. Many of these devices are highly mobile and must adapt to the surrounding environment in a totally unsupervised way.



A fundamental research challenge is the design of robust decentralized computing systems that are capable of operating under changing environments and noisy input, and yet exhibit the desired behavior and response time, under constraints such as energy consumption, size, and processing power.



Biological systems are able to handle many of these challenges with an elegance and efficiency still far beyond current human artifacts. The goal is to obtain methods on how to engineer technical systems, which have similar high stability and efficiency.



With this book, we present a comprehensive overview of the most promising research directions in the area of bio-inspired computing. According to the broad spectrum addressed by the different book chapters, a rich variety of biological principles and their application to ICT systems are presented.
Part I Self-Organizing Network Environments
Bio-inspired Framework for Autonomic Communication Systems
3(18)
Sasitharan Balasubramaniam
Dmitri Botvich
William Donnelly
Michedl O Foghlu
John Strassner
Towards a Biologically-inspired Architecture for Self-Regulatory and Evolvable Network Applications
21(26)
Chonho Lee
Hiroshi Wada
Junichi Suzuki
Biologically Inspired Synchronization for Wireless Networks
47(16)
Alexander Tyrrell
Gunther Auer
Christian Bettstetter
Bio-Inspired Congestion Control: Conceptual Framework, Algorithm and Discussion
63(18)
Morteza Analoui
Shahram Jamali
Self-Organized Network Security Facilities based on Bio-inspired Promoters and Inhibitors
81(20)
Falko Dressier
Part II System Design and Programming
Context Data Dissemination in the Bio-inspired Service Life Cycle
101(22)
Carsten Jacob
David Linner
Heiko Pfeffer
Ilja Radusch
Stephan Steglich
Eigenvector Centrality in Highly Partitioned Mobile Networks: Principles and Applications
123(24)
Iacopo Carreras
Daniele Miorandi
Geoffrey S. Canright
Kenth Engø Monsen
Toward Organization-Oriented Chemical Programming: A Case Study with the Maximal Independent Set Problem
147(18)
Naoki Matsumaru
Thorsten Lenser
Thomas Hinze
Peter Dittrich
Evolving Artificial Cell Signaling Networks: Perspectives and Methods
165(22)
James Decraene
George G. Mitchell
Barry McMullin
Part III Sensor and Actor Networks
Immune System-based Energy Efficient and Reliable Communication in Wireless Sensor Networks
187(22)
Baris Atakan
Ozgur B. Akan
A Bio-Inspired Architecture for Division of Labour in SANETs
209(20)
Thomas Halva Labella
Falko Dressier
A Pragmatic Model of Attention and Anticipation for Active Sensor Systems
229(18)
Sorin M. Iacob
Johan de Heer
Alfons H. Salden
Part IV Search and Optimization
Self-Organization for Search in Peer-to-Peer Networks
247(20)
Elke Michlmayr
A Bio-Inspired Location Search Algorithm for Peer to Peer Networks
267(16)
Sachin Kulkarni
Niloy Ganguly
Geoffrey Canright
Andreas Deutsch
Ant Colony Optimization and its Application to Regular and Dynamic MAX-SAT Problems
283
Pedro C. Pinto
Thomas A. Runkler
Joao M. C. Sousa