Artificial Immune Systems 5th International Conference, ICARIS 2006, Oeiras, Portugal, September 4-6, 2006. Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Bersini, Hugues (Επιμελητής έκδοσης), Carneiro, Jorge (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006.
• Σειρά: Lecture Notes in Computer Science, 4163
• Θέματα: Computer science.; Computers.; Algorithms.; Database management.; Information storage and retrieval.; Artificial intelligence.; Bioinformatics.; Computer Science.; Artificial Intelligence (incl. Robotics).; Computation by Abstract Devices.; Algorithm Analysis and Problem Complexity.; Database Management.; Information Storage and Retrieval.

 ICARIS 2006 is the ?fth instance of a series of conferences dedicated to the comprehension and the exploitation of immunological principles through their translation into computational terms. All scienti?c disciplines carrying a name that begins with “arti?cial” (followed by “life,” “reality,” “intelligence” or “- munesystem”) aresimilarlysu?ering froma veryambiguousidentity.Their axis of research tries to stabilize an on-going identity somewhere in the crossroad of engineering (building useful artifacts), natural sciences (biologyor psychology— improving the comprehension and prediction of natural phenomena) and t- oretical computer sciences (developing and mastering the algorithmic world). Accordingly and depending on which of these perspectives receives more s- port, they attempt at attracting di?erent kinds of scientists and at stimul- ing di?erent kinds of scienti?c attitudes. For many years and in the previous ICARIS conferences, it was clearly the “engineering” perspective that was the most represented and prevailed through the publications. Indeed, since the o- gin of engineering and technology, nature has o?ered a reserve of inexhaustible inspirations which have stimulated the development of useful artifacts for man. Biology has led to the development of new computer tools, such as genetic - gorithms, Boolean and neural networks, robots learning by experience, cellular machines and others that create a new vision of IT for the engineer: parallel, ?exible andautonomous.Inthis type of informatics,complexproblemsareta- led with the aid of simple mechanisms, but in?nitely iterated in time and space. 

 Computer Simulation of Classical Immunology -- Did Germinal Centers Evolve Under Differential Effects of Diversity vs Affinity? -- Modelling the Control of an Immune Response Through Cytokine Signalling -- Modeling Influenza Viral Dynamics in Tissue -- Cellular Frustration: A New Conceptual Framework for Understanding Cell-Mediated Immune Responses -- The Swarming Body: Simulating the Decentralized Defenses of Immunity -- Computer Simulation of Idiotypic Network -- Analysis of a Growth Model for Idiotypic Networks -- Randomly Evolving Idiotypic Networks: Analysis of Building Principles -- The Idiotypic Network with Binary Patterns Matching -- Tolerance vs Intolerance: How Affinity Defines Topology in an Idiotypic Network -- ImmunoInformatics Conceptual Papers -- On Permutation Masks in Hamming Negative Selection -- Gene Libraries: Coverage, Efficiency and Diversity -- Immune System Modeling: The OO Way -- A Computational Model of Degeneracy in a Lymph Node -- Structural Properties of Shape-Spaces -- Pattern Recognition Type of Application -- Integrating Innate and Adaptive Immunity for Intrusion Detection -- A Comparative Study on Self-tolerant Strategies for Hardware Immune Systems -- On the Use of Hyperspheres in Artificial Immune Systems as Antibody Recognition Regions -- A Heuristic Detector Generation Algorithm for Negative Selection Algorithm with Hamming Distance Partial Matching Rule -- A Novel Approach to Resource Allocation Mechanism in Artificial Immune Recognition System: Fuzzy Resource Allocation Mechanism and Application to Diagnosis of Atherosclerosis Disease -- Recognition of Handwritten Indic Script Using Clonal Selection Algorithm -- Optimization Type of Application -- Diophantine Benchmarks for the B-Cell Algorithm -- A Population Adaptive Based Immune Algorithm for Solving Multi-objective Optimization Problems -- omni-aiNet: An Immune-Inspired Approach for Omni Optimization -- Immune Procedure for Optimal Scheduling of Complex Energy Systems -- Aligning Multiple Protein Sequences by Hybrid Clonal Selection Algorithm with Insert-Remove-Gaps and BlockShuffling Operators -- Control and Time-Series Type of Application -- Controlling the Heating System of an Intelligent Home with an Artificial Immune System -- Don’t Touch Me, I’m Fine: Robot Autonomy Using an Artificial Innate Immune System -- Price Trackers Inspired by Immune Memory -- Theoretical Basis of Novelty Detection in Time Series Using Negative Selection Algorithms -- Danger Theory Inspired Application -- Danger Is Ubiquitous: Detecting Malicious Activities in Sensor Networks Using the Dendritic Cell Algorithm -- Articulation and Clarification of the Dendritic Cell Algorithm -- Text Mining Application -- Immune-Inspired Adaptive Information Filtering -- An Immune Network for Contextual Text Data Clustering -- An Immunological Filter for Spam.