[PDF] Artificial Immune Systems A New Computational Intelligence Approach eBook

Author : Leandro Nunes de Castro
Publisher : Springer Science & Business Media
Page : 380 pages
File Size : 41,22 MB
Release : 2002-09-23
Category : Computers
ISBN : 1852335947

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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.

Author : Ying Tan
Publisher : John Wiley & Sons
Page : 206 pages
File Size : 35,30 MB
Release : 2016-08-25
Category : Computers
ISBN : 1119076277

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This book deals with malware detection in terms of Artificial Immune System (AIS), and presents a number of AIS models and immune-based feature extraction approaches as well as their applications in computer security Covers all of the current achievements in computer security based on immune principles, which were obtained by the Computational Intelligence Laboratory of Peking University, China Includes state-of-the-art information on designing and developing artificial immune systems (AIS) and AIS-based solutions to computer security issues Presents new concepts such as immune danger theory, immune concentration, and class-wise information gain (CIG)

Author : Dipankar Dasgupta
Publisher : CRC Press
Page : 298 pages
File Size : 38,3 MB
Release : 2008-09-12
Category : Computers
ISBN : 1420065467

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Clearly, nature has been very effective in creating organisms that are capable of protecting themselves against a wide variety of pathogens such as bacteria, fungi, and parasites. The powerful information-processing capabilities of the immune system, such as feature extraction, pattern recognition, learning, memory, and its distributive nature prov

Author : Dionisios N. Sotiropoulos
Publisher : Springer
Page : 336 pages
File Size : 30,98 MB
Release : 2016-10-26
Category : Technology & Engineering
ISBN : 3319471945

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The topic of this monograph falls within the, so-called, biologically motivated computing paradigm, in which biology provides the source of models and inspiration towards the development of computational intelligence and machine learning systems. Specifically, artificial immune systems are presented as a valid metaphor towards the creation of abstract and high level representations of biological components or functions that lay the foundations for an alternative machine learning paradigm. Therefore, focus is given on addressing the primary problems of Pattern Recognition by developing Artificial Immune System-based machine learning algorithms for the problems of Clustering, Classification and One-Class Classification. Pattern Classification, in particular, is studied within the context of the Class Imbalance Problem. The main source of inspiration stems from the fact that the Adaptive Immune System constitutes one of the most sophisticated biological systems that is exceptionally evolved in order to continuously address an extremely unbalanced pattern classification problem, namely, the self / non-self discrimination process. The experimental results presented in this monograph involve a wide range of degenerate binary classification problems where the minority class of interest is to be recognized against the vast volume of the majority class of negative patterns. In this context, Artificial Immune Systems are utilized for the development of personalized software as the core mechanism behind the implementation of Recommender Systems. The book will be useful to researchers, practitioners and graduate students dealing with Pattern Recognition and Machine Learning and their applications in Personalized Software and Recommender Systems. It is intended for both the expert/researcher in these fields, as well as for the general reader in the field of Computational Intelligence and, more generally, Computer Science who wishes to learn more about the field of Intelligent Computing Systems and its applications. An extensive list of bibliographic references at the end of each chapter guides the reader to probe further into application area of interest to him/her.

Author : Dario Floreano
Publisher : MIT Press
Page : 674 pages
File Size : 30,9 MB
Release : 2023-04-04
Category : Computers
ISBN : 0262547732

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A comprehensive introduction to new approaches in artificial intelligence and robotics that are inspired by self-organizing biological processes and structures. New approaches to artificial intelligence spring from the idea that intelligence emerges as much from cells, bodies, and societies as it does from evolution, development, and learning. Traditionally, artificial intelligence has been concerned with reproducing the abilities of human brains; newer approaches take inspiration from a wider range of biological structures that that are capable of autonomous self-organization. Examples of these new approaches include evolutionary computation and evolutionary electronics, artificial neural networks, immune systems, biorobotics, and swarm intelligence—to mention only a few. This book offers a comprehensive introduction to the emerging field of biologically inspired artificial intelligence that can be used as an upper-level text or as a reference for researchers. Each chapter presents computational approaches inspired by a different biological system; each begins with background information about the biological system and then proceeds to develop computational models that make use of biological concepts. The chapters cover evolutionary computation and electronics; cellular systems; neural systems, including neuromorphic engineering; developmental systems; immune systems; behavioral systems—including several approaches to robotics, including behavior-based, bio-mimetic, epigenetic, and evolutionary robots; and collective systems, including swarm robotics as well as cooperative and competitive co-evolving systems. Chapters end with a concluding overview and suggested reading.

Author : Tejbanta Singh Chingtham
Publisher : LAP Lambert Academic Publishing
Page : 60 pages
File Size : 14,32 MB
Release : 2010-11
Category :
ISBN : 9783843356695

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This book aims at improving the working of Robots using natural phenomenon that exist around us, one such technique is the Natural Immune System. The biological immune system is a great source of inspiration for developing intelligent problem-solving techniques. Like other biologically motivated approaches, Artificial Immune System (AIS) is also a rapidly emerging field. It is used in pattern recognition, fault detection, computer security and a variety of other applications in science and engineering. It is expected that Artificial Immune System will be able to detect faults and make recommendations to a high-level control system about corrective action - similar to that of a human adaptive Immune System which keep the body healthy. Most of the research carried out so far is based either on the innate or adaptive characteristics of the immune system, this book attempts to combine them together to imitate the natural immune system and applied on a Multi-Robot Scenario. Very few work using AIS as an approach to multi-robot environment has been carried out so far. A case based experiment on how the robots interact with each other to exist in harmony is presented in this text.

Author : Mo, Hongwei
Publisher : IGI Global
Page : 634 pages
File Size : 35,18 MB
Release : 2009-04-30
Category : Computers
ISBN : 1605663115

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"This book offers new ideas and recent developments in Natural Computing, especially on artificial immune systems"--Provided by publisher.

Author : Fouad Sabry
Publisher : One Billion Knowledgeable
Page : 209 pages
File Size : 40,6 MB
Release : 2023-06-22
Category : Computers
ISBN :

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What Is Artificial Immune Systems In the field of artificial intelligence, artificial immune systems (AIS) are a classification of rule-based, computationally intelligent machine learning systems that take their cues from the fundamentals and procedures of the immune system of vertebrates. When it comes to finding solutions to problems, algorithms are frequently based after the learning and memory capabilities of the immune system. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Artificial immune system Chapter 2: Immunology Chapter 3: Adaptive immune system Chapter 4: Computational immunology Chapter 5: Clonal selection algorithm Chapter 6: Immune network theory Chapter 7: Evolutionary computation Chapter 8: Bio-inspired computing Chapter 9: Glossary of artificial intelligence Chapter 10: Rule-based machine learning (II) Answering the public top questions about artificial immune systems. (III) Real world examples for the usage of artificial immune systems in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of artificial immune systems' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of artificial immune systems.

Author : Leandro N. De Castro
Publisher : IGI Global
Page : 439 pages
File Size : 22,76 MB
Release : 2005-01-01
Category : Computers
ISBN : 1591403146

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Recent Developments in Biologically Inspired Computing is necessary reading for undergraduate and graduate students, and researchers interested in knowing the most recent advances in problem solving techniques inspired by nature. This book covers the most relevant areas in computational intelligence, including evolutionary algorithms, artificial neural networks, artificial immune systems and swarm systems. It also brings together novel and philosophical trends in the exciting fields of artificial life and robotics. This book has the advantage of covering a large number of computational approaches, presenting the state-of-the-art before entering into the details of specific extensions and new developments. Pseudocodes, flow charts and examples of applications are provided so as to help newcomers and mature researchers to get the point of the new approaches presented.

Author : Mircea Gh. Negoita
Publisher : Springer Science & Business Media
Page : 242 pages
File Size : 21,64 MB
Release : 2005-02-17
Category : Business & Economics
ISBN : 9783540232193

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Hybrid Intelligent Systems has become an important research topic in computer science and a key application field in science and engineering. This book offers a gentle introduction to the engineering aspects of hybrid intelligent systems, also emphasizing the interrelation with the main intelligent technologies such as genetic algorithms – evolutionary computation, neural networks, fuzzy systems, evolvable hardware, DNA computing, artificial immune systems. A unitary whole of theory and application, the book provides readers with the fundamentals, background information, and practical methods for building a hybrid intelligent system. It treats a panoply of applications, including many in industry, educational systems, forecasting, financial engineering, and bioinformatics. This volume is useful to newcomers in the field because it quickly familiarizes them with engineering elements of developing hybrid intelligent systems and a wide range of real applications, including non-industrial applications. Researchers, developers and technically oriented managers can use the book for developing both new hybrid intelligent systems approaches and new applications requiring the hybridization of the typical tools and concepts to computational intelligence.