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001 978-1-84800-261-6
003 DE-He213
005 20161121230717.0
007 cr nn 008mamaa
008 100301s2008 xxk| s |||| 0|eng d
020 _a9781848002616
_9978-1-84800-261-6
024 7 _a10.1007/978-1-84800-261-6
_2doi
050 4 _aQ334-342
050 4 _aTJ210.2-211.495
072 7 _aUYQ
_2bicssc
072 7 _aTJFM1
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aRobust Intelligent Systems
_h[electronic resource] /
_cedited by Alfons Schuster.
250 _a1.
264 1 _aLondon :
_bSpringer London,
_c2008.
300 _aXII, 299 p. 81 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aRobustness in Computer Hardware, Software, Networks, and Protocols -- Robustness in Digital Hardware -- Multiagent-Based Fault Tolerance Management for Robustness -- A Two-Level Robustness Model for Self-Managing Software Systems -- Robustness in Network Protocols and Distributed Applications of the Internet -- Robustness in Biology Inspired Systems -- Detecting Danger: The Dendritic Cell Algorithm -- Non-invasive Brain-Computer Interfaces for Semi-autonomous Assistive Devices -- Robust Learning of High-dimensional Biological Networks with Bayesian Networks -- Robustness in Artificial Intelligence Systems -- Robustness in Nature as a Design Principle for Artificial Intelligence -- Feedback Structures as a Key Requirement for Robustness: Case Studies in Image Processing -- Exploiting Motor Modules in Modular Contexts in Humanoid Robotics -- Robustness in Space Applications -- Robustness as Key to Success for Space Missions -- Robust and Automated Space System Design -- Robust Bio-regenerative Life Support Systems Control.
520 _aRobustness is an intriguing phenomenon in many complex intelligent systems, natural and artificial alike. This book investigates the relevance of robustness in a modern intelligent computing context, where many systems take inspiration from fundamental problem-solving strategies found in nature such as redundancy, granularity, adaptation, repair, and self-healing for creating robust systems. The book explores the value these strategies may have as general design principles in a diverse range of areas including the computer technology underlying many intelligent systems, and also systems and applications inspired by biology, artificial intelligence, and intelligent space exploration. The topics covered include computer hardware and software, networks and protocols, brain-computer interfaces, biological networks and immune systems, humanoid robotics, image processing, artificial neural networks, genetic algorithms, chaos theory, and other soft computing techniques, as well as space system design and bio-regenerative life support systems. As modern information technology and modern computing are integral to many areas of human life and are used in increasingly more sophisticated and challenging ways, by looking at the relevance and importance of robustness as found in nature as a design principle for intelligent systems, this book provides a unique resource for practitioners in a wide variety of fields.
650 0 _aComputer science.
650 0 _aComputers.
650 0 _aArtificial intelligence.
650 1 4 _aComputer Science.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aTheory of Computation.
700 1 _aSchuster, Alfons.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781848002609
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-84800-261-6
912 _aZDB-2-SCS
950 _aComputer Science (Springer-11645)
999 _c502818
_d502818