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Adaptation In Natural And Artificial Systems
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Book Synopsis Adaptation in Natural and Artificial Systems by : John H. Holland
Download or read book Adaptation in Natural and Artificial Systems written by John H. Holland and published by MIT Press. This book was released on 1992-04-29 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genetic algorithms are playing an increasingly important role in studies of complex adaptive systems, ranging from adaptive agents in economic theory to the use of machine learning techniques in the design of complex devices such as aircraft turbines and integrated circuits. Adaptation in Natural and Artificial Systems is the book that initiated this field of study, presenting the theoretical foundations and exploring applications. In its most familiar form, adaptation is a biological process, whereby organisms evolve by rearranging genetic material to survive in environments confronting them. In this now classic work, Holland presents a mathematical model that allows for the nonlinearity of such complex interactions. He demonstrates the model's universality by applying it to economics, physiological psychology, game theory, and artificial intelligence and then outlines the way in which this approach modifies the traditional views of mathematical genetics. Initially applying his concepts to simply defined artificial systems with limited numbers of parameters, Holland goes on to explore their use in the study of a wide range of complex, naturally occuring processes, concentrating on systems having multiple factors that interact in nonlinear ways. Along the way he accounts for major effects of coadaptation and coevolution: the emergence of building blocks, or schemata, that are recombined and passed on to succeeding generations to provide, innovations and improvements.
Book Synopsis Adaptation in Natural and Artificial Systems by : John Henry Holland
Download or read book Adaptation in Natural and Artificial Systems written by John Henry Holland and published by Bradford Books. This book was released on 1992 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genetic algorithms are playing an increasingly important role in studies of complex adaptive systems, ranging from adaptive agents in economic theory to the use of machine learning techniques in the design of complex devices such as aircraft turbines and integrated circuits. Adaptation in Natural and Artificial Systems is the book that initiated this field of study, presenting the theoretical foundations and exploring applications. In its most familiar form, adaptation is a biological process, whereby organisms evolve by rearranging genetic material to survive in environments confronting them. In this now classic work, Holland presents a mathematical model that allows for the nonlinearity of such complex interactions. He demonstrates the model's universality by applying it to economics, physiological psychology, game theory, and artificial intelligence and then outlines the way in which this approach modifies the traditional views of mathematical genetics. Initially applying his concepts to simply defined artificial systems with limited numbers of parameters, Holland goes on to explore their use in the study of a wide range of complex, naturally occuring processes, concentrating on systems having multiple factors that interact in nonlinear ways. Along the way he accounts for major effects of coadaptation and coevolution: the emergence of building blocks, or schemata, that are recombined and passed on to succeeding generations to provide, innovations and improvements.
Book Synopsis Perspectives on Adaptation in Natural and Artificial Systems by : Lashon Booker
Download or read book Perspectives on Adaptation in Natural and Artificial Systems written by Lashon Booker and published by Oxford University Press. This book was released on 2005-02-24 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of essays exploring adaptive systems from many perspectives, ranging from computational applications to models of adaptation in living and social systems. The essays on computation discuss history, theory, applications, and possible threats of adaptive and evolving computations systems. The modeling chapters cover topics such as evolution in microbial populations, the evolution of cooperation, and how ideas about evolution relate to economics. The title Perspectives on Adaptation in Natural and Artificial Systems honors John Holland, whose 1975 Book, Adaptation in Natural and Artificial Systems has become a classic text for many disciplines in which adaptation play a central role. The essays brought together here were originally written to honor John Holland, and span most of the different areas touched by his wide-ranging and influential research career. The authors include some of the most prominent scientists in the fields of artificial intelligence evolutionary computation, and complex adaptive systems. Taken together, these essays present a broad modern picture of current research on adaptation as it relates to computers, living systems, society, and their complex interactions.
Book Synopsis Perspectives on Adaptation in Natural and Artificial Systems by : Lashon Booker
Download or read book Perspectives on Adaptation in Natural and Artificial Systems written by Lashon Booker and published by Oxford University Press. This book was released on 2005-02-24 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction: Adaptation, Evolution, and Intelligence, Lashon Booker, Stephanie Forrest, Melanie Mitchell, and Rick Riolo. PART 1: GENETIC ALGOROTHMS AND BEYOND. 1. Genetic Algorithms: A 30 Year Perspective, Kenneth DeJong. 2. Human-Competitive Machine Intelligence by Means of Genetic Algorithms, John R. Koza. 3. John Holland, Facetwise models, and Economy of Thought, David E. Goldberg. PART 2: COMPUTATION, ARTIFICIAL INTELLIGENCE, AND BEYOND. 4. An Early Graduate Program in Computers and Communications, Arthur W. Burks. 5. Had We But World Enough and Time, Oliver G. Selfridge. 6. Discrete Eve.
Book Synopsis Climate and Land Use Impacts on Natural and Artificial Systems by : Margarit Mircea Nistor
Download or read book Climate and Land Use Impacts on Natural and Artificial Systems written by Margarit Mircea Nistor and published by Elsevier. This book was released on 2021-07-20 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Climate and Land Use Impacts on Natural and Artificial Systems: Mitigation and Adaptation provides in-depth information on the linkages between climate change and land use, how they are related, how land use is shifting over time, and the major global regions at risk for climate and land use changes. This comprehensive resource discusses climatic factors and processes that impact natural and artificial systems, as well as the relationship between climate change and both natural and man-made hazards. The book includes case studies and original maps to provide real-life examples of climate change and land use over regions around the globe. In addition, the book presents future perspectives on mitigation and adaptation of the climate change impact. Summarizes current research on land use and climate change Provides future perspectives on climate change using climate models Includes case studies to provide real-life examples from various countries Incorporates high level graphics, images, and maps to support reviews and case studies
Book Synopsis Adaptation in Natural and Artificial Systems by : John Henry Holland
Download or read book Adaptation in Natural and Artificial Systems written by John Henry Holland and published by . This book was released on 1992 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Signals and Boundaries by : John H. Holland
Download or read book Signals and Boundaries written by John H. Holland and published by MIT Press. This book was released on 2012-07-13 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: An overarching framework for comparing and steering complex adaptive systems is developed through understanding the mechanisms that generate their intricate signal/boundary hierarchies. Complex adaptive systems (cas), including ecosystems, governments, biological cells, and markets, are characterized by intricate hierarchical arrangements of boundaries and signals. In ecosystems, for example, niches act as semi-permeable boundaries, and smells and visual patterns serve as signals; governments have departmental hierarchies with memoranda acting as signals; and so it is with other cas. Despite a wealth of data and descriptions concerning different cas, there remain many unanswered questions about "steering" these systems. In Signals and Boundaries, John Holland argues that understanding the origin of the intricate signal/border hierarchies of these systems is the key to answering such questions. He develops an overarching framework for comparing and steering cas through the mechanisms that generate their signal/boundary hierarchies. Holland lays out a path for developing the framework that emphasizes agents, niches, theory, and mathematical models. He discusses, among other topics, theory construction; signal-processing agents; networks as representations of signal/boundary interaction; adaptation; recombination and reproduction; the use of tagged urn models (adapted from elementary probability theory) to represent boundary hierarchies; finitely generated systems as a way to tie the models examined into a single framework; the framework itself, illustrated by a simple finitely generated version of the development of a multi-celled organism; and Markov processes.
Book Synopsis Hidden Order by : John Henry Holland
Download or read book Hidden Order written by John Henry Holland and published by Addison Wesley Publishing Company. This book was released on 1995-08-21 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: Basic elements - Adaptive agents - Echoing emergence - Simulating echo - Toward theory.
Book Synopsis Adaptation and Natural Selection by : George Christopher Williams
Download or read book Adaptation and Natural Selection written by George Christopher Williams and published by Princeton University Press. This book was released on 2018-10-30 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biological evolution is a fact—but the many conflicting theories of evolution remain controversial even today. When Adaptation and Natural Selection was first published in 1966, it struck a powerful blow against those who argued for the concept of group selection—the idea that evolution acts to select entire species rather than individuals. Williams’s famous work in favor of simple Darwinism over group selection has become a classic of science literature, valued for its thorough and convincing argument and its relevance to many fields outside of biology. Now with a new foreword by Richard Dawkins, Adaptation and Natural Selection is an essential text for understanding the nature of scientific debate.
Book Synopsis Technological Nature by : Peter H. Kahn, Jr.
Download or read book Technological Nature written by Peter H. Kahn, Jr. and published by MIT Press. This book was released on 2011-02-25 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why it matters that our relationship with nature is increasingly mediated and augmented by technology. Our forebears may have had a close connection with the natural world, but increasingly we experience technological nature. Children come of age watching digital nature programs on television. They inhabit virtual lands in digital games. And they play with robotic animals, purchased at big box stores. Until a few years ago, hunters could "telehunt"—shoot and kill animals in Texas from a computer anywhere in the world via a Web interface. Does it matter that much of our experience with nature is mediated and augmented by technology? In Technological Nature, Peter Kahn argues that it does, and shows how it affects our well-being. Kahn describes his investigations of children's and adults' experiences of cutting-edge technological nature. He and his team installed "technological nature windows" (50-inch plasma screens showing high-definition broadcasts of real-time local nature views) in inside offices on his university campus and assessed the physiological and psychological effects on viewers. He studied children's and adults' relationships with the robotic dog AIBO (including possible benefits for children with autism). And he studied online "telegardening" (a pastoral alternative to "telehunting"). Kahn's studies show that in terms of human well-being technological nature is better than no nature, but not as good as actual nature. We should develop and use technological nature as a bonus on life, not as its substitute, and re-envision what is beautiful and fulfilling and often wild in essence in our relationship with the natural world.
Author :Giovanna Di Marzo Serugendo Publisher :Springer Science & Business Media ISBN 13 :9783642173486 Total Pages :462 pages Book Rating :4.1/5 (734 download)
Book Synopsis Self-organising Software by : Giovanna Di Marzo Serugendo
Download or read book Self-organising Software written by Giovanna Di Marzo Serugendo and published by Springer Science & Business Media. This book was released on 2011-09-15 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: Self-organisation, self-regulation, self-repair and self-maintenance are promising conceptual approaches for dealing with complex distributed interactive software and information-handling systems. Self-organising applications dynamically change their functionality and structure without direct user intervention, responding to changes in requirements and the environment. This is the first book to offer an integrated view of self-organisation technologies applied to distributed systems, particularly focusing on multiagent systems. The editors developed this integrated book with three aims: to explain self-organisation concepts and principles, using clear definitions and a strong theoretical background; to examine how self-organising behaviour can be modelled, analysed and systematically engineered into agent behaviour; and to assess the types of problems that can be solved using self-organising multiagent systems. The book comprises chapters covering all three dimensions, synthesising up-to-date research work and the latest technologies and applications. The book offers dedicated chapters on concepts such as self-organisation, emergence in natural systems, software agents, stigmergy, gossip, cooperation and immune systems. The book then explains how to engineer artificial self-organising software, in particular it examines methodologies and middleware infrastructures. Finally, the book presents diverse applications of self-organising software, such as constraint satisfaction, trust management, image recognition and networking. The book will be of interest to researchers working on emergent phenomena and adaptive systems. It will also be suitable for use as a graduate textbook, with chapter summaries and exercises, and an accompanying website that includes teaching slides, exercise solutions and research project outlines. Self-organisation, self-regulation, self-repair and self-maintenance are promising conceptual approaches for dealing with complex distributed interactive software and information-handling systems. Self-organising applications dynamically change their functionality and structure without direct user intervention, responding to changes in requirements and the environment. This is the first book to offer an integrated view of self-organisation technologies applied to distributed systems, particularly focusing on multiagent systems. The editors developed this integrated book with three aims: to explain self-organisation concepts and principles, using clear definitions and a strong theoretical background; to examine how self-organising behaviour can be modelled, analysed and systematically engineered into agent behaviour; and to assess the types of problems that can be solved using self-organising multiagent systems. The book comprises chapters covering all three dimensions, synthesising up-to-date research work and the latest technologies and applications. The book offers dedicated chapters on concepts such as self-organisation, emergence in natural systems, software agents, stigmergy, gossip, cooperation and immune systems. The book then explains how to engineer artificial self-organising software, in particular it examines methodologies and middleware infrastructures. Finally, the book presents diverse applications of self-organising software, such as constraint satisfaction, trust management, image recognition and networking. The book will be of interest to researchers working on emergent phenomena and adaptive systems. It will also be suitable for use as a graduate textbook, with chapter summaries and exercises, and an accompanying website that includes teaching slides, exercise solutions and research project outlines.
Book Synopsis An Introduction to Genetic Algorithms by : Melanie Mitchell
Download or read book An Introduction to Genetic Algorithms written by Melanie Mitchell and published by MIT Press. This book was released on 1998-03-02 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational models of natural evolutionary systems. This brief, accessible introduction describes some of the most interesting research in the field and also enables readers to implement and experiment with genetic algorithms on their own. It focuses in depth on a small set of important and interesting topics—particularly in machine learning, scientific modeling, and artificial life—and reviews a broad span of research, including the work of Mitchell and her colleagues. The descriptions of applications and modeling projects stretch beyond the strict boundaries of computer science to include dynamical systems theory, game theory, molecular biology, ecology, evolutionary biology, and population genetics, underscoring the exciting "general purpose" nature of genetic algorithms as search methods that can be employed across disciplines. An Introduction to Genetic Algorithms is accessible to students and researchers in any scientific discipline. It includes many thought and computer exercises that build on and reinforce the reader's understanding of the text. The first chapter introduces genetic algorithms and their terminology and describes two provocative applications in detail. The second and third chapters look at the use of genetic algorithms in machine learning (computer programs, data analysis and prediction, neural networks) and in scientific models (interactions among learning, evolution, and culture; sexual selection; ecosystems; evolutionary activity). Several approaches to the theory of genetic algorithms are discussed in depth in the fourth chapter. The fifth chapter takes up implementation, and the last chapter poses some currently unanswered questions and surveys prospects for the future of evolutionary computation.
Book Synopsis The Sciences of the Artificial, reissue of the third edition with a new introduction by John Laird by : Herbert A. Simon
Download or read book The Sciences of the Artificial, reissue of the third edition with a new introduction by John Laird written by Herbert A. Simon and published by MIT Press. This book was released on 2019-08-13 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Herbert Simon's classic work on artificial intelligence in the expanded and updated third edition from 1996, with a new introduction by John E. Laird. Herbert Simon's classic and influential The Sciences of the Artificial declares definitively that there can be a science not only of natural phenomena but also of what is artificial. Exploring the commonalities of artificial systems, including economic systems, the business firm, artificial intelligence, complex engineering projects, and social plans, Simon argues that designed systems are a valid field of study, and he proposes a science of design. For this third edition, originally published in 1996, Simon added new material that takes into account advances in cognitive psychology and the science of design while confirming and extending the book's basic thesis: that a physical symbol system has the necessary and sufficient means for intelligent action. Simon won the Nobel Prize for Economics in 1978 for his research into the decision-making process within economic organizations and the Turing Award (considered by some the computer science equivalent to the Nobel) with Allen Newell in 1975 for contributions to artificial intelligence, the psychology of human cognition, and list processing. The Sciences of the Artificial distills the essence of Simon's thought accessibly and coherently. This reissue of the third edition makes a pioneering work available to a new audience.
Book Synopsis Adaptive Control of Ill-Defined Systems by : Oliver G. Selfridge
Download or read book Adaptive Control of Ill-Defined Systems written by Oliver G. Selfridge and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are some types of complex systems that are built like clockwork, with well-defined parts that interact in well-defined ways, so that the action of the whole can be precisely analyzed and anticipated with accuracy and precision. Some systems are not themselves so well-defined, but they can be modeled in ways that are like trained pilots in well-built planes, or electrolyte balance in healthy humans. But there are many systems for which that is not true; and among them are many whose understanding and control we would value. For example, the model for the trained pilot above fails exactly where the pilot is being most human; that is, where he is exercising the highest levels of judgment, or where he is learning and adapting to new conditions. Again, sometimes the kinds of complexity do not lead to easily analyzable models at all; here we might include most economic systems, in all forms of societies. There are several factors that seem to contribute to systems being hard to model, understand, or control. The human participants may act in ways that are so variable or so rich or so interactive that the only adequate model of the system would be the entire system itself, so to speak. This is probably the case in true long term systems involving people learning and growing up in a changing society.
Download or read book Emergence written by John H. Holland and published by OUP Oxford. This book was released on 2000 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: We are confronted with emergent systems everywhere and Holland shows how a theory of emergence can predict many complex behaviours in art and science. This book will appeal to scientists and anyone interested in scientific theory.
Book Synopsis Intelligent Systems for Automated Learning and Adaptation: Emerging Trends and Applications by : Chiong, Raymond
Download or read book Intelligent Systems for Automated Learning and Adaptation: Emerging Trends and Applications written by Chiong, Raymond and published by IGI Global. This book was released on 2009-09-30 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This volume offers intriguing applications, reviews and additions to the methodology of intelligent computing, presenting the emerging trends of state-of-the-art intelligent systems and their practical applications"--Provided by publisher.
Book Synopsis Genetic and Evolutionary Computation — GECCO 2004 by : Kalyanmoy Deb
Download or read book Genetic and Evolutionary Computation — GECCO 2004 written by Kalyanmoy Deb and published by Springer Science & Business Media. This book was released on 2004-10-12 with total page 1490 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volume set LNCS 3102/3103 constitutes the refereed proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2004, held in Seattle, WA, USA, in June 2004. The 230 revised full papers and 104 poster papers presented were carefully reviewed and selected from 460 submissions. The papers are organized in topical sections on artificial life, adaptive behavior, agents, and ant colony optimization; artificial immune systems, biological applications; coevolution; evolutionary robotics; evolution strategies and evolutionary programming; evolvable hardware; genetic algorithms; genetic programming; learning classifier systems; real world applications; and search-based software engineering.
