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020 _a9783540302209
_9978-3-540-30220-9
024 7 _a10.1007/b100486
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aArtificial Immune Systems
_h[electronic resource] :
_bThird International Conference, ICARIS 2004, Catania, Sicily, Italy, September 13-16, 2004, Proceedings /
_cedited by Giuseppe Nicosia, Vincenzo Cutello, Peter John Bentley, Jonathan Ian Timmis.
250 _a1st ed. 2004.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2004.
300 _aXII, 448 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v3239
505 0 _aApplications of Artificial Immune Systems (Technical Stream) -- Negative Selection Algorithm for Aircraft Fault Detection -- A Hierarchical Immune Network Applied to Gene Expression Data -- Artificial Immune Regulation (AIR) for Model-Based Fault Diagnosis -- Optimal Circuit Design Using Immune Algorithm -- Conceptual, Formal, and Theoretical Frameworks (Conceptual Stream) -- Towards a Conceptual Framework for Artificial Immune Systems -- Immunologic Responses Manipulation of AIS Agents -- Optima, Extrema, and Artificial Immune Systems -- Artificial Immune Systems for Robotics (Technical Stream) -- An Immuno Control Framework for Decentralized Mechatronic Control -- AIS Based Robot Navigation in a Rescue Scenario -- Reactive Immune Network Based Mobile Robot Navigation -- Emerging Metaphors (Conceptual Stream) -- A Fractal Immune Network -- Nootropia: A User Profiling Model Based on a Self-Organising Term Network -- Towards Danger Theory Based Artificial APC Model: Novel Metaphor for Danger Susceptible Data Codons -- Online Negative Databases -- Special Session on Immunoinformatics -- Definition of MHC Supertypes Through Clustering of MHC Peptide Binding Repertoires -- BcePred: Prediction of Continuous B-Cell Epitopes in Antigenic Sequences Using Physico-chemical Properties -- Integration of Immune Models Using Petri Nets -- MHC Class I Epitope Binding Prediction Trained on Small Data Sets -- Theoretical and Experimental Studies on Artificial Immune Systems (Technical Stream) -- Convergence Analysis of a Multiobjective Artificial Immune System Algorithm -- A Comparison of Immune and Neural Computing for Two Real-Life Tasks of Pattern Recognition -- An Artificial Immune System Based Visual Analysis Model and Its Real-Time Terrain Surveillance Application -- Exploring the Capability of Immune Algorithms: A Characterization of Hypermutation Operators -- Future Applications (Conceptual Stream) -- Exploiting Immunological Properties for Ubiquitous Computing Systems -- A Robust Immune Based Approach to the Iterated Prisoner’s Dilemma -- Artificial Innate Immune System: An Instant Defence Layer of Embryonics -- Immune System Approaches to Intrusion Detection – A Review -- Multimodal Search with Immune Based Genetic Programming -- Networks (Technical Stream) -- An Artificial Immune System for Misbehavior Detection in Mobile Ad-Hoc Networks with Virtual Thymus, Clustering, Danger Signal, and Memory Detectors -- Developing Efficient Search Algorithms for P2P Networks Using Proliferation and Mutation -- Modelling (Conceptual Stream) -- A Game-Theoretic Approach to Artificial Immune Networks -- Modelling Immune Memory for Prediction and Computation -- Immunity Through Swarms: Agent-Based Simulations of the Human Immune System -- Distinguishing Properties of Artificial Immune Systems (Conceptual Stream) -- Studies on the Implications of Shape-Space Models for Idiotypic Networks -- Exploiting Parallelism Inherent in AIRS, an Artificial Immune Classifier -- An Overview of Computational and Theoretical Immunology.
520 _aArti?cial Immune Systems have come of age. They are no longer an obscure computersciencetechnique,workedonbyacoupleoffarsightedresearchgroups. Today, researchers across the globe are working on new computer algorithms inspired by the workings of the immune system. This vigorous ?eld of research investigates how immunobiology can assist our technology, and along the way is beginning to help biologists understand their unique problems. AIS is now old enough to understand its roots, its context in the research community, and its exciting future. It has grown too big to be con?ned to s- cial sessions in evolutionary computation conferences. AIS researchers are now forming their own community and identity. The International Conference on Arti?cial Immune Systems is proud to be the premiere conference in the area. As its organizers, we were honored to have such a variety of innovative and original scienti?c papers presented this year. ICARIS 2004 was the third international conference dedicated entirely to the ?eld of Arti?cial Immune Systems (AIS). It was held in Catania, on the beautiful island of Sicily, Italy, during September 13–16, 2004. While hosting the conference, the city of Catania gave the participants the opportunity to enjoy the richness of its historical and cultural atmosphere and the beauty of its natural resources, the sea, and the Etna volcano.
650 0 _aArtificial intelligence.
650 0 _aComputer science.
650 0 _aAlgorithms.
650 0 _aDatabase management.
650 0 _aInformation storage and retrieval systems.
650 0 _aBioinformatics.
650 1 4 _aArtificial Intelligence.
650 2 4 _aTheory of Computation.
650 2 4 _aAlgorithms.
650 2 4 _aDatabase Management.
650 2 4 _aInformation Storage and Retrieval.
650 2 4 _aBioinformatics.
700 1 _aNicosia, Giuseppe.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aCutello, Vincenzo.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aBentley, Peter John.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aTimmis, Jonathan Ian.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540230977
776 0 8 _iPrinted edition:
_z9783662187371
830 0 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v3239
856 4 0 _uhttps://doi.org/10.1007/b100486
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