000 | 05148nam a22005895i 4500 | ||
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001 | 978-3-642-14547-6 | ||
003 | DE-He213 | ||
005 | 20140220084543.0 | ||
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008 | 100716s2010 gw | s |||| 0|eng d | ||
020 |
_a9783642145476 _9978-3-642-14547-6 |
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024 | 7 |
_a10.1007/978-3-642-14547-6 _2doi |
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050 | 4 | _aQA76.9.C65 | |
072 | 7 |
_aUGK _2bicssc |
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072 | 7 |
_aCOM072000 _2bisacsh |
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082 | 0 | 4 |
_a003.3 _223 |
100 | 1 |
_aHart, Emma. _eeditor. |
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245 | 1 | 0 |
_aArtificial Immune Systems _h[electronic resource] : _b9th International Conference, ICARIS 2010, Edinburgh, UK, July 26-29, 2010. Proceedings / _cedited by Emma Hart, Chris McEwan, Jon Timmis, Andy Hone. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2010. |
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300 |
_aXI, 329p. 86 illus. _bonline resource. |
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_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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490 | 1 |
_aLecture Notes in Computer Science, _x0302-9743 ; _v6209 |
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505 | 0 | _aImmune System Modelling -- A Petri Net Model of Granulomatous Inflammation -- Defining a Simulation Strategy for Cancer Immunocompetence -- Theoretical Artificial Immune Systems -- Clonal Selection from First Principles -- Density Preservation and Vector Quantization in Immune-Inspired Algorithms -- Immune Inspired Information Filtering in a High Dimensional Space -- On the Benefits of Aging and the Importance of Details -- Classifying in the Presence of Uncertainty: A DCA Perspective -- Insights into the Antigen Sampling Component of the Dendritic Cell Algorithm -- FDCM: A Fuzzy Dendritic Cell Method -- Modular RADAR: An Immune System Inspired Search and Response Strategy for Distributed Systems -- Applied Artificial Immune Systems -- A Faster Clonal Selection Algorithm for Expensive Optimization Problems -- An Information-Theoretic Approach for Clonal Selection Algorithms -- Antibodies with Adaptive Radius as Prototypes of High-Dimensional Datasets -- GAIS: A Gaussian Artificial Immune System for Continuous Optimization -- An Immune Algorithm for Minimum Interference Channel Assignment in Multi-radio Wireless Mesh Networks -- A Developmental and Immune-Inspired Dynamic Task Allocation Algorithm for Microprocessor Array Systems -- An Immunological Algorithm for Doping Profile Optimization in Semiconductors Design -- QML-AiNet: An Immune-Inspired Network Approach to Qualitative Model Learning -- Biomedical Article Classification Using an Agent-Based Model of T-Cell Cross-Regulation -- An Artificial Immune System Approach for Artificial Chemistries Based on Set Rewriting -- Further Experimentation with Hybrid Immune Inspired Network Intrusion Detection -- Danger Theory and Intrusion Detection: Possibilities and Limitations of the Analogy -- Electronic Fraud Detection for Video-on-Demand System Using Hybrid Immunology-Inspired Algorithms -- PerAda Workshop on Novel Applications of Bio-inspired Computing to Pervasive Adaptive Systems -- Converging Bio-inspired Robotics and Socio-inspired Agents for Intelligent Transportation Systems -- On Homeostasis in Collective Robotic Systems -- Can a Developmental AIS Provide Immunity to a Multi-cellular Robotics System? -- Using Virtual Embryogenesis for Structuring Controllers -- Towards Self-aware PerAda Systems -- Is Receptor Degeneracy Suitable for Automatic Response Decisions in Ad Hoc Networks? -- Biochemically-Inspired Emergent Computation -- Nature-Inspired Adaptivity in Communication and Learning -- Symbiotic Cognitive Networks: A Proposal. | |
520 | _aThis book constitutes the refereed proceedings of the 9th International Conference on Artificial Immune Systems, ICARIS 2010, held in Edinburgh, UK, in July 2010. The 23 revised full papers and extended immune modeling abstracts presented together with 9 PerAda workshop position statements were carefully reviewed and selected from 41 submissions. The papers are organized in topical sections on immune system modeling; theoretical artificial immune systems; and applied artificial immune systems. | ||
650 | 0 | _aComputer science. | |
650 | 0 | _aComputer software. | |
650 | 0 | _aInformation systems. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aComputer simulation. | |
650 | 0 | _aOptical pattern recognition. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aSimulation and Modeling. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
650 | 2 | 4 | _aComputation by Abstract Devices. |
650 | 2 | 4 | _aAlgorithm Analysis and Problem Complexity. |
650 | 2 | 4 | _aPattern Recognition. |
650 | 2 | 4 | _aInformation Systems Applications (incl.Internet). |
700 | 1 |
_aMcEwan, Chris. _eeditor. |
|
700 | 1 |
_aTimmis, Jon. _eeditor. |
|
700 | 1 |
_aHone, Andy. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783642145469 |
830 | 0 |
_aLecture Notes in Computer Science, _x0302-9743 ; _v6209 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-14547-6 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-LNC | ||
999 |
_c112498 _d112498 |