000 04286nam a22005175i 4500
001 978-3-540-72693-7
003 DE-He213
005 20161121231204.0
007 cr nn 008mamaa
008 100301s2007 gw | s |||| 0|eng d
020 _a9783540726937
_9978-3-540-72693-7
024 7 _a10.1007/978-3-540-72693-7
_2doi
050 4 _aTA329-348
050 4 _aTA640-643
072 7 _aTBJ
_2bicssc
072 7 _aMAT003000
_2bisacsh
082 0 4 _a519
_223
245 1 0 _aAdvances in Biologically Inspired Information Systems
_h[electronic resource] :
_bModels, Methods, and Tools /
_cedited by Falko Dressler, Iacopo Carreras.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2007.
300 _aXII, 302 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-949X ;
_v69
505 0 _aSelf-Organizing Network Environments -- Bio-inspired Framework for Autonomic Communication Systems -- Towards a Biologically-inspired Architecture for Self-Regulatory and Evolvable Network Applications -- Biologically Inspired Synchronization for Wireless Networks -- Bio-Inspired Congestion Control: Conceptual Framework, Algorithm and Discussion -- Self-Organized Network Security Facilities based on Bio-inspired Promoters and Inhibitors -- System Design and Programming -- Context Data Dissemination in the Bio-inspired Service Life Cycle -- Eigenvector Centrality in Highly Partitioned Mobile Networks: Principles and Applications -- Toward Organization-Oriented Chemical Programming: A Case Study with the Maximal Independent Set Problem -- Evolving Artificial Cell Signaling Networks: Perspectives and Methods -- Sensor and Actor Networks -- Immune System-based Energy Efficient and Reliable Communication in Wireless Sensor Networks -- A Bio-Inspired Architecture for Division of Labour in SANETs -- A Pragmatic Model of Attention and Anticipation for Active Sensor Systems -- Search and Optimization -- Self-Organization for Search in Peer-to-Peer Networks -- A Bio-Inspired Location Search Algorithm for Peer to Peer Networks -- Ant Colony Optimization and its Application to Regular and Dynamic MAX-SAT Problems.
520 _aTechnology 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.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aBioinformatics.
650 0 _aApplied mathematics.
650 0 _aEngineering mathematics.
650 1 4 _aEngineering.
650 2 4 _aAppl.Mathematics/Computational Methods of Engineering.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aBioinformatics.
700 1 _aDressler, Falko.
_eeditor.
700 1 _aCarreras, Iacopo.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540726920
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v69
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-540-72693-7
912 _aZDB-2-ENG
950 _aEngineering (Springer-11647)
999 _c509856
_d509856