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(Last Modified: 21st October 2013)

Publication Resources

This page provides links to other resources that you may find useful, and breif overviews (and reviews where we have them) of AIS related books.
Quick links to: bibliographies , books , journals


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Here we provide a list of all the books that are related to the area of AIS. We may have missed some, so please let us know and we will add it. Also we would like to keep reviews here of any of the books, so if you want to provide a review, then email it to us.

Quick links to :Engineering , Modelling, Immunology


Artificial Immune Systems and Their Applications. D. Dasgupta (Ed). 1999
Summary: Artificial immune systems are highly distributed systems based on the principles of the natural system. This is a new and rapidly growing field offering powerful and robust information processing capabilities for solving complex problems. Like artificial neural networks, artificial immune systems can learn new information, recall previously learned information, and perform pattern recognition in a highly decentralized fashion.
This volume provides an overview of the immune system from the computational viewpoint. It discusses computational models of the immune system and their applications, and provides a wealth of insights on immunological memory and the effects of viruses in immune response. It will be of professional interest to scientists, academics, vaccine designers, and practitioners.
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Artificial Immune Systems: A New Computational Intelligence Approach. L. N. De Castro and J. Timmis (2002)
Summary: 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.
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Immunocomputing: Principles and Applications By Alexander O. Tarakanov, Victor A. Skormin, Svetlana S. Sokolova (2003)
Summary: This book is an attempt to introduce immunocomputing (IC) as a new computing approach replicating the principles of information processing by proteins and immune networks. A rigorous mathematical basis of the IC, consistent with the recent findings of immunology, is established. Various applications of IC to specific computationally-intensive real-life problems are presented. The hardware implementation aspects of the IC concept in an immunocomputer as a new kind of computing media and its potential connections with modern biological microchips (biochips) and future biomolecular computers (biocomputers) are discussed. The book is intended for experts in computer science, artificial intelligence and biomolecular computing interested in adopting the principles of computing, honed to perfection by million-year evolution, immunologists seeking to further quantify their field of research, multidisciplinary researchers interested in mutual enhancement of computer science and immunology, and university students exploring their individual "entry points" to the world of science.

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Immunity-Based Systems: A Design Perspective By Yoshiteru Ishida (2004)
Summary: This book presents a framework for communication intensive autonomous agents inspired from the immune system. With the rapid increase of computational power and networking technology similarity between computer and biological systems may now practically work. The framework presented fills the need to guide the implementation of such a "biological" system. It is described in detail focusing on the field of diagnosis and control. Several sample applications and simulations are presented.

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Recent Developments In Biologically Inspired Computing (Eds) Leandro N. DeCastro, Fernando J. Von Zuben (2004)
Summary: 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.

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Fundamentals of Natural Computing: Basic Concepts, Algorithms, and Applications By Leandro N. De Castro (2006)
Summary: Natural computing brings together nature and computing to develop new computational tools for problem solving; to synthesize natural patterns and behaviors in computers; and to potentially design novel types of computers. Fundamentals of Natural Computing: Basic Concepts, Algorithms, and Applications presents a wide-ranging survey of novel techniques and important applications of nature-based computing. This book presents theoretical and philosophical discussions, pseudocodes for algorithms, and computing paradigms that illustrate how computational techniques can be used to solve complex problems, simulate nature, explain natural phenomena, and possibly allow the development of new computing technologies. The author features a consistent and approachable, textbook-style format that includes lucid figures, tables, real-world examples, and different types of exercises that complement the concepts while encouraging readers to apply the computational tools in each chapter. Building progressively upon core concepts of nature-inspired techniques, the topics include evolutionary computing, neurocomputing, swarm intelligence, immunocomputing, fractal geometry, artificial life, quantum computing, and DNA computing. Fundamentals of Natural Computing is a self-contained introduction and a practical guide to nature-based computational approaches that will find numerous applications in a variety of growing fields including engineering, computer science, biological modeling, and bioinformatics.
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Immunological Computation: Theory and Practice by Dipankar Dasgupta and Fernando Nino.
Over the last decade, the field of immunological computation has progressed slowly and steadily as a branch of computational intelligence. Immunological Computation: Theory and Applications presents up-to-date immunity-based computational techniques. After a brief review of fundamental immunology concepts, it examines computational models based on the negative selection process that occurs in the thymus. The text then explores immune networks, including continuous and discrete immune network models, clonal selection, hybrid models, and computational models based on danger theory. It also discusses real-world applications for the models covered in each chapter.
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Modelling Books

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Immunological Books

Tending Adam's Garden: Evolving the Congnitive Immune Self by Irun Cohen (2000)
Summary: Tending Adam's Garden describes and explains the way in which our immune system works from a novel perspective. The book uses metaphors and examples to bring the immune system to life and explores the fundamental miracle of nature. Written in plain language for a broad audience, this book encompasses much more than just immunology, exploring more fundamental matters such as causality, information, energy, evolution, cognition and individuality, as well as the strategy of the immune system and its role in health and disease.

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Review supplied by Prof Susan Stepney, University of York. Read the review.

Immunobiology: The Immune System in Health and Disease By Charles Janeway (2005)
Summary: Summarizing the basic immunological concepts, this textbook looks at the main aspects of adaptive immunity, then integrates all the preceding material at the level of the complete organism in both health and disease.

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Roitt's Essential Immunology By Ivan Maurice Roitt, Peter J. Delves (2006)
Summary: Roitt's Essential Immunology has established itself as the book of choice for students of immunology worldwide. This excellent textbook is commonly regarded as 'the best of the immunology primers' and the eleventh edition remains at the cutting edge of this fascinating area of science. The trademark of this book is its highly readable introduction to the subject, its emphasis on core knowledge and its excellent four-color artwork. The internationally renowned authors have extensively updated all aspects of the book to produce a new edition, which will be an invaluable resource to students of immunology and medicine. Roitt's Essential Immunology is also supported by a web site at This useful on-line resource contains self-assessment material, future updates, further reading and an image archive.

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In-Silco Immunology by D. Flower and J. Timmis (Eds) (2007)
Summary: Theoretical immunology is the application of mathematical modeling to diverse aspects of immunology. Immunoinformatics, the application of computational informatics to the study of immunological macromolecules, addresses questions in immunobiology and vaccinology, as well as addressing issues of data management, and can design and implement new experimental strategies. Artificial Immune Systems (AIS) uses ideas and concepts from immunology to guide and inspire new algorithms, data structures, and software development.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" will summarize these emergent disciplines and will address the issue of synergy as it shows how these three are set to transform immunological science and the future of health care.

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Journals and Special Issues of Interest

You will typically find AIS realted publications in the following journals:
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