Book Description
Artificial Immune Systems (AIS) are adaptive systems inspired by the biological immune system and applied to problem solving. This book provides an accessible introduction that will be suitable for anyone who is beginning to study or work in this area. It gives a clear definition of an AIS, sets out the foundations of the topic (including basic algorithms), and analyses how the immune system relates to other biological systems and processes. No prior knowledge of immunology is needed - all the essential background information is covered in the introductory chapters.
Key features of the book include:
- A discussion of AIS in the context of Computational Intelligence;
- Case studies in Autonomous Navigation, Computer Network Security, Job-Shop Scheduling and Data Analysis =B7 An extensive survey of applications;
- A framework to help the reader design and understand AIS;
- A web site with additional resources including pseudocodes for immune algorithms, and links to related sites.
Written primarily for final year undergraduate and postgraduate students studying Artificial Intelligence, Evolutionary and Biologically Inspired Computing, this book will also be of interest to industrial and academic researchers working in related areas.
Customer Reviews:
Pretty good overview.......2003-06-05
Bio-inspired computing has taken the world by storm in the last few decades, going by the names of neural networks, genetic algorithms, evolutionary programming, and swarm intelligence. Another one has arisen has appeared in the last 15 years or so, is inspired by the biology of the immune system, and is the subject of this book. The authors of the book are aware that the approach is novel, but do a good job of presenting the field to newcomers (like myself), who want to know what it is all about and if it indeed has useful applications. They discuss their own work in the area and that of others, and extensive references are given for further reading.
After a short introduction to the subject in chapter 1, the authors move on to a description of the biological immune system in chapter 2. They stress the need for understanding the mechanisms that regulate the adaptive immune response, so as to be able to control the transformation of an immune response from an "aggressive" to a "benign" state. The authors explain the difference between the "innate" immune system and the "adaptive" immune system. As the name implies, the adaptive immune response is a kind of "learning" ability that allows the immune system to improve itself as antigens are encountered. The innate immune response though remains constant along the lifetime of the organism. A short description of the T-cells and B-cells is given, some of which can differentiate into "memory cells" that remain circulating in the body and protect against a given antigen. Particularly interesting is the role of "pattern recognition receptors" that recognize molecular patterns associated with pathogens. The clonal selection theory of the adaptive immune system, along with the somewhat controversial immune network theory.
Chapter 3 is an overview of how to to actually create an artificial immune system (AIS). The emphasize that anything deemed controversial in the biological framework need not be when viewed from a computational perspective, such as the immune network theory. Biology is used for the inspiration of the computational models, and as such they need not reflect entirely what is true in the biological case. They also emphasize that the various attempts to simulate the immune system on computers are not examples of an AIS. Also, an AIS is more than just a pattern recognition algorithm, even though it must employ this in its use. To give a framework for an AIS, the authors employ a model of immune cells and molecules called a "shape-space". In this shape space one models the affinity of the "molecules" via a metric, which the authors eventually choose to be the Hamming metric. They then give an overview of various algorithms for modeling the immune system, such as bone marrow, thymus, and immune network models, in addition to clonal selection algorithms. For those readers familiar with dynamical systems, the immune network models are very interesting, due to the use of differential equations, and also the fact that such in immune network models the immune system is performing even in the absence of external stimuli.
Chapter 4 gives a survey of artificial immune systems, such as spectra recognition for chemical reactions, infectious disease surveillance, analysis of medical data, and computational security. The latter was of particular importance to me, so I read the discussion and the references with more attention than other parts of the book. The issue with the approaches for network intrusion detection and virus detection lie mostly in the performance of the network. Agents that are cleverly designed may form a very accurate way of detecting this malicious behavior, but their deployment on a network may degrade the its performance considerably.
I did not read chapters 5 and 6 so I will omit their review.
In chapter 7, the authors discuss various case studies in artificial immune systems that shed more light on the examples of Chapter 4. The computer network security application is discussed again, and a low number of false positives is shown to follow after the artificial immune system is simulated. However, the performance of the network is not pointed out by the authors. The authors also give more details on the application of artificial immune systems to data analysis and optimization. The discussion is interesting, but it is still an open question as to whether this approach is indeed better than other ones in optimization theory, i.e. how does the immune approach compare with the "free-lunch" theorems so often quoted in optimization theory? The authors do make a brief comparison of their optimization algorithm with evolution strategies, and this is somewhat helpful to those who are familiar with the latter.
The last chapter of the book looks to future applications of artificial immune systems, and in its connection with learning paradigms in artificial intelligence. The authors are open-minded about the future of AIS but also subject it to critical analysis.
The book motivated me to investigate the use of AIS more fully, and to begin thinking about possible applications, such as 1. Event correlation in networks. 2. Network routing: Routes that are inefficient are viewed as "antigens", and the network immune system will then cure the system of these routes, meaning that it will remember them as being antigens up to some practical time scale. The routing scheme in place will not implement these routes within this time frame. 3. The TCP/IP protocol in the context of the immune network theory where reliable connections are based on the epitope/paratope recognition capability. Any emergent properties of the network overlaid with the TCP/IP protocol such as learning, memory, and self-tolerance could be studied by viewing the packet network as an immune network. 4. Network QoS, with packets marked as low priority viewed as temporary antigens. 5. Using the function optimization capabilities of AIS do calculate the effective bandwidth of ATM networks. 6. Data analysis, particularly in the construction of algorithms to distinguish chaos from noise.
Book Description
This book presents software tools, environments and realities dealing with creation, imitation and analysis of artefactual, virtual, and living forms, written by those who personally design and produce software, hardware, and art installations in artificial life, simulated complex systems, and virtual worlds.
This timely volume offers a nearly exhaustive overview and original analysis of major non-profit artificial life software packages. Topics include:
- simulation of real and imaginary life forms and their evolution
- self-organization
- emergent behaviours
- swarm intelligence
- evolutionary robotics
- agent-based simulations
- adaptive, complex and biologically inspired ecosystems
- creative computer art
There has long been a need within the academic and research community for an informal introduction and guidance to modern software tools for modeling and simulation of life-like phenomena – this book fills this gap and offers detailed reviews of contemporary software for artificial life for both professionals and amateurs.
Customer Reviews:
a sequel to the Game of Life.......2007-04-25
Remember Conway's Game of Life? Surely you must, if you are interested in this book. The Game has been around since the 70s. The editors have cultivated recent research papers that demonstrate how far the field has advanced. Reinforced by some pretty colour plates that depict artificial entities [dare we call them living?] in some surroundings. These include the modelling of bee flights through a garden, and simulated trajectories of a group of bacteria.
Nor is the Game of Life ignored. One plate shows it in three dimensions. The Game is played in 2 dimensions, with time as the third dimension. An obvious choice that gives interesting trajectories of the cells.
The narrative adds to the illustrations. By describing a variety of computer simulations [worlds?]. Where the experimenter can tweak many parameters, and watch her world unfold. Some worlds are impressively rich in complexity of observed behaviours.
The only drawback in the book is its skimpy index. A mere two pages. It should have been more detailed.
Average customer rating:
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Genetic Programming: 9th European Conference, EuroGP 2006, Budapest, Hungary, April 10-12, 2006. Proceedings (Lecture Notes in Computer Science)
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ASIN: 3540331433 |
Book Description
This book constitutes the refereed proceedings of the 9th European Conference on Genetic Programming, EuroGP 2006, held in Budapest, Hungary, in April 2006, colocated with EvoCOP 2006.
The 21 revised plenary papers and 11 revised poster papers were carefully reviewed and selected from 59 submissions. The papers address fundamental and theoretical issues, along with a wide variety of papers dealing with different application areas, such as computer science, engineering, machine learning, Kolmogorov complexity, biology and computational design, showing that GP is a powerful and practical problem-solving paradigm.
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Adaptive and Natural Computing Algorithms: 8th International Conference, ICANNGA 2007, Warsaw, Poland, April 11-14, 2007, Proceedings, Part II (Lecture Notes in Computer Science)
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DNA Computing: 12th International Meeting on DNA Computing, DNA12, Seoul, Korea, June 5-9, 2006, Revised Selected Papers (Lecture Notes in Computer Science)
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STACS 2007: 24th Annual Symposium on Theoretical Aspects of Computer Science, Aachen, Germany, February 22-24, 2007, Proceedings (Lecture Notes in Computer Science)
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Membrane Computing: 7th International Workshop, WMC 2006, Leiden, Netherlands, July 17-21, 2006, Revised, Selected, and Invited Papers (Lecture Notes in Computer Science)
ASIN: 3540715908 |
Book Description
The two volume set LNCS 4431 and LNCS 4432 constitutes the refereed proceedings of the 8th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2007, held in Warsaw, Poland, in April 2007.
The 178 revised full papers presented were carefully reviewed and selected from a total of 474 submissions. The 94 papers of the first volume are organized in topical sections on evolutionary computation, genetic algorithms, particle swarm optimization, learning, optimization and games, fuzzy and rough systems, just as classification and clustering. The second volume contains 84 contributions related to neural networks, support vector machines, biomedical signal and image processing, biometrics, computer vision, as well as to control and robotics.
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Advances in Natural Computation: Second International Conference, ICNC 2006, Xi'an, China, September 24-28, 2006, Proceedings, Part I (Lecture Notes in Computer Science)
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ASIN: 3540459014 |
Book Description
The two volume set LNCS 4221 and LNCS 4222 constitutes the refereed proceedings of the Second International Conference on Natural Computation, ICNC 2006, held in Xi'an, China, in September 2006 as a joint event in federation with the Third International Conference on Fuzzy Systems and Knowledge Discovery FSKD 2006 (LNAI 4223).
After a demanding review process 168 carefully revised full papers and 86 revised short papers were selected from 1915 submissions for presentation in two volumes. The first volume includes 130 papers related to artificial neural networks, natural neural systems and cognitive science, neural network applications, as well as evolutionary computation: theory and algorithms. The 124 papers in the second volume are orgainzed in topical sections on other topics in natural computation, natural computation techniques applications, hardware, and cross-disciplinary topics.
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Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, ISNN 2006, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part I (Lecture Notes in Computer Science)
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ASIN: 354034439X |
Book Description
The three volume set LNCS 3971/3972/3973 constitutes the refereed proceedings of the Third International Symposium on Neural Networks, ISNN 2006, held in Chengdu, China in May/June 2006.
The 616 revised papers presented were carefully reviewed and selected from about 2.500 submissions. The papers are organized in topical sections on neurobiological analysis, theoretical analysis, neurodynamic optimization, learning algorithms, model design, kernel methods, ICA and BSS, data preprocessing, pattern classification, computer vision, image processing, signal processing, system modeling, control systems, robotic systems, power systems, transportation systems, communication networks, information security, fault detection, financial analysis, neuroinformatics, bioinformatics, biomedical applications, industrial applications, other applications, and hardware implementation.
Book Description
The three volume set LNCS 3971/3972/3973 constitutes the refereed proceedings of the Third International Symposium on Neural Networks, ISNN 2006, held in Chengdu, China in May/June 2006.
The 616 revised papers presented were carefully reviewed and selected from about 2.500 submissions. The papers are organized in topical sections on neurobiological analysis, theoretical analysis, neurodynamic optimization, learning algorithms, model design, kernel methods, ICA and BSS, data preprocessing, pattern classification, computer vision, image processing, signal processing, system modeling, control systems, robotic systems, power systems, transportation systems, communication networks, information security, fault detection, financial analysis, neuroinformatics, bioinformatics, biomedical applications, industrial applications, other applications, and hardware implementation.
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AI 2005: Advances in Artificial Intelligence: 18th Australian Joint Conference on Artificial Intelligence, Sydney, Australia, December 5-9, 2005, Proceedings (Lecture Notes in Computer Science)
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ASIN: 3540304622 |
Book Description
This book constitutes the refereed proceedings of the 18th Australian Joint Conference on Artificial Intelligence, AI 2005, held in Sydney, Australia in December 2005.
The 77 revised full papers and 119 revised short papers presented together with the abstracts of 3 keynote speeches were carefully reviewed and selected from 535 submissions. The papers are catgorized in three broad sections, namely: AI foundations and technologies, computational intelligence, and AI in specialized domains. Particular topics addressed by the papers are logic and reasoning, machine learning, game theory, robotic technology, data mining, neural networks, fuzzy theory and algorithms, evolutionary computing, Web intelligence, decision making, pattern recognition, agent technology, and AI applications.
Book Description
This book constitutes the refereed proceedings of the 19th Australian Joint Conference on Artificial Intelligence, AI 2006, held in Hobart, Australia in December 2006.
The 89 revised full papers and 70 revised short papers presented together with the extended abstracts of 4 invited speeches were carefully reviewed and selected from 689 submissions. The papers are organized in topical sections on foundations and knowledge based system, knowledge representation and reasoning, machine learning, connectionist AI, data mining, intelligent agents, cognition and user interface, vision and image processing, natural language processing and Web intelligence, neural networks, search and planning, robotics, and AI applications.
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Artificial Evolution: 6th International Conference, Evolution Artificielle, EA 2003, Marseilles, France, October 27-30, 2003, Revised Selected Papers (Lecture Notes in Computer Science)
Manufacturer: Springer
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ASIN: 3540215239 |
Book Description
This book constitutes the thoroughly refereed post-proceedings of the 6th International Conference on Artificial Evolution, EA 2003, held in Marseilles, France in October 2003.
The 32 revised full papers presented were carefully selected and improved during two rounds of reviewing and revision. The papers are organized in topical sections on theoretical issues, algorithmic issues, applications, implementation issues, genetic programming, coevolution and agent systems, artificial life, and cellular automata.
Books:
- Bacteriophages: Biology and Applications
- Benson's Microbiological Applications: Laboratory Manual in General Microbiology, Complete Version
- Biochemical Adaptation: Mechanism and Process in Physiological Evolution
- Biology, Sixth Edition
- Bringing Fossils To Life: An Introduction To Paleobiology
- Brock Biology Of Microorganisms
- Buried Alive: The Startling Truth About Neanderthal Man
- Cell Phone Culture: Mobile Technology in Everyday Life
- Clinical Microbiology Made Ridiculously Simple (Medmaster)
- Coevolution: The True Story of a Man Taken for Ten Days to an Extraterrestrial Civilization
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