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"This book focuses on the technologies and applications of artificial immune systems in malware and spam detection proposed in recent years by the computation intelligence laboratory at Peking University, China. It offers a theoretical perspective and practical solutions to graduate students, practitioners, and researchers working in the area of artificial immune system, machine learning, pattern recognition, and computer security"--

Artificial immune systems. --- Computer security. --- Computer networks --- Security measures.

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As computers and the tasks they perform become increasingly complex, researchers are looking to nature -- as model and as metaphor -- for inspiration. The organization and behavior of biological organisms present scientists with an invitation to reinvent computing for the complex tasks of the future. In Imitation of Life, Nancy Forbes surveys the emerging field of biologically inspired computing, looking at some of the most impressive and influential examples of this fertile synergy. Forbes points out that the influence of biology on computing goes back to the early days of computer science -- John von Neumann, the architect of the first digital computer, used the human brain as the model for his design. Inspired by von Neumann and other early visionaries, as well as by her work on the "Ultrascale Computing" project at the Defense Advanced Research Projects Agency (DARPA), Forbes describes the exciting potential of these revolutionary new technologies. She identifies three strains of biologically inspired computing: the use of biology as a metaphor or inspiration for the development of algorithms; the construction of information processing systems that use biological materials or are modeled on biological processes, or both; and the effort to understand how biological organisms "compute," or process information. Forbes then shows us how current researchers are using these approaches. In successive chapters, she looks at artificial neural networks; evolutionary and genetic algorithms, which search for the "fittest" among a generation of solutions; cellular automata; artificial life -- not just a simulation, but "alive" in the internal ecosystem of the computer; DNA computation, which uses the encoding capability of DNA to devise algorithms; self-assembly and its potential use in nanotechnology; amorphous computing, modeled on the kind of cooperation seen in a colony of cells or a swarm of bees; computer immune systems; bio-hardware and how bioelectronics compares to silicon; and the "computational" properties of cells.

Biology. --- Computer science. --- Neural networks (Computer science) --- Molecular computers --- Artificial immune systems --- Artificial life --- Biologically-inspired computing --- Biology - General --- Computer Science --- Engineering & Applied Sciences --- Biology --- Health & Biological Sciences --- Bio-inspired computing --- Natural computing --- AISs (Artificial immune systems) --- IC (Computer science) --- Immunocomputers --- Immunocomputing --- DNA-based computers --- DNA computers --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Informatics --- Bionics --- Electronic data processing --- Life --- Natural computation --- Immune system --- Biocomputers --- Artificial intelligence --- Soft computing --- Science --- Life sciences --- Biomass --- Life (Biology) --- Natural history --- Computer simulation --- PHYSICAL SCIENCES/General

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Immunology is an all important science, addressing, as it does the most pressing medical needs of our time: infectious disease and transplantation medicine. It has given us vaccines on the one hand and therapeutic antibodies on the other. After a century of empirical research, it is now poised to finally reinvent itself as a quantitative, genome-based science. Like most biological disciplines, immunology must capitalize on the potentially overwhelming deluge of new data delivered by post-genomic, high throughput technologies; data which is both bewilderingly complex and delivered on a hitherto unimaginable scale. Theoretical immunology is the application of mathematical modeling to diverse aspects of immunology ranging from T cell selection in the Thymus to the epidemiology of vaccination. Immunoinformatics, the application of computational informatics to the study of immunological macromolecules, addresses important questions in immunobiology and vaccinology. Immunoinformatics, addresses issues of data management, and has the ability to design and implement efficient new experimental strategies. Artificial Immune Systems (AIS) is an area of computer science which uses ideas and concepts from immunology to guide and inspire new algorithms, data structures, and software development. The influence of AIS is now becoming highly synergistic through its interaction with immunoinformatics. These three different disciplines are now poised to engineer a paradigm shift from hypothesis- to data-driven research, with new understanding emerging from the analysis of complex datasets: theoretical immunology, immunoinformatics, and Artificial Immune Systems (AIS). "in silico Immunology" is a book for the future: it will summarize these emergent disciplines and, while focusing on cutting edge developments, will address the issue of synergy as it shows how these three are set to transform immunological science and the future of health care.

Medicine. --- Immunology. --- Proteomics. --- Bioinformatics. --- Microbial genetics. --- Microbial genomics. --- Biomathematics. --- Biomedicine. --- Microbial Genetics and Genomics. --- Physiological, Cellular and Medical Topics. --- Mathematical and Computational Biology. --- Biology --- Mathematics --- Genomics --- Microbial genetics --- Microorganisms --- Genetics --- Microbiology --- Bio-informatics --- Biological informatics --- Information science --- Computational biology --- Systems biology --- Molecular biology --- Proteins --- Immunobiology --- Life sciences --- Serology --- Clinical sciences --- Medical profession --- Human biology --- Medical sciences --- Pathology --- Physicians --- Data processing --- Immunoinformatics. --- Immunocomputers. --- AISs (Artificial immune systems) --- IC (Computer science) --- Immunocomputers --- Immunocomputing --- Natural computation --- Immune system --- Computational immunology --- Immunological informatics --- Bioinformatics --- Immunology --- Computer simulation --- Physiology --- Mathematics. --- Animal physiology --- Animals --- Anatomy

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This book constitutes the refereed proceedings of the 7th International Conference on Artificial Immune Systems, ICARIS 2008, held in Phuket, Thailand, in August 2008. The 40 revised full papers presented were carefully reviewed and selected from 67 submissions. The papers are organized in topical sections on computational immunology, applied AIS, and theoretical AIS. Position papers and conceptual papers are also included.

Artificial intelligence --- Immune system --- Immunocomputers --- Computer simulation --- AISs (Artificial immune systems) --- IC (Computer science) --- Immunocomputing --- Natural computation --- Immunological system --- Anatomy --- Immunology --- Computer science. --- Artificial intelligence. --- Computer software. --- Data mining. --- Information storage and retrieva. --- Bioinformatics. --- Computation by Abstract Devices. --- Artificial Intelligence. --- Algorithm Analysis and Problem Complexity. --- Data Mining and Knowledge Discovery. --- Information Storage and Retrieval. --- Computational Biology/Bioinformatics. --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Software, Computer --- Computer systems --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Informatics --- Science --- Data processing --- Information storage and retrieval systems. --- Computers. --- Algorithms. --- Information storage and retrieval. --- Algorism --- Algebra --- Arithmetic --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Cybernetics --- Calculators --- Cyberspace --- Foundations --- Artificial immune systems --- Theory of Computation. --- Computational and Systems Biology. --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Electronic information resources --- Data centers --- Digital libraries --- Information organization --- Information retrieval

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Arti?cial immune systems (AIS) is a diverse and maturing area of research that bridges the disciplines of immunology and computation. The original research impetus in AIS had a clear focus on applying immunological principles to c- putationalproblemsinpracticaldomainssuchascomputersecurity,datamining and optimization. As the ?eld has matured, it has diversi?ed such that we now see a growing interest in formalizing the theoretical properties of earlier - proaches, elaborating underlying relationships between applied computational models and those from theoretical immunology, as well a return to the roots of the domain in which the methods of computer science are being applied to - munological modelling problems. Following the trends in the ?eld, the ICARIS conference intends to provide a forum for all these perspectives. The 9th InternationalConference on AIS (ICARIS 2010)built on the success of previous years, providing a convenient vantage point for broader re?ection as it returned to Edinburgh, the venue of the Second ICARIS in 2003. This time, the conference was hosted by Edinburgh Napier University at its Craiglockhart Campus, recently reopened after extensive refurbishment which has resulted in a stunning building and state-of-the-art facilities. The extent to which the ?eld has matured over the preceding years is clear; a substantial track of theor- ical research now underpins the discipline. The applied stream has expanded in its outlook, and has examples of AIS algorithms being applied across a wide spectrum of practicalproblems,rangingfrom sensornetworksto semi-conductor design.

Artificial immune systems --- Artificial intelligence --- Immune system --- Engineering & Applied Sciences --- Computer Science --- Computer simulation --- Immunocomputers --- AISs (Artificial immune systems) --- IC (Computer science) --- Immunocomputing --- Immunological system --- Computer science. --- Computer programming. --- Computers. --- Algorithms. --- Artificial intelligence. --- Computer simulation. --- Pattern recognition. --- Computer Science. --- Simulation and Modeling. --- Artificial Intelligence (incl. Robotics). --- Programming Techniques. --- Computation by Abstract Devices. --- Algorithm Analysis and Problem Complexity. --- Pattern Recognition. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Fifth generation computers --- Neural computers --- Algorism --- Algebra --- Arithmetic --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Calculators --- Cyberspace --- Computers --- Electronic computer programming --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Informatics --- Science --- Foundations --- Programming --- Natural computation --- Anatomy --- Immunology --- Computer software. --- Optical pattern recognition. --- Artificial Intelligence. --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Software, Computer --- Pattern recognition systems. --- Computer Modelling. --- Theory of Computation. --- Automated Pattern Recognition. --- Pattern classification systems --- Pattern recognition computers --- Computer vision