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Author: Kumpati S. Narendra
Publisher: Courier Corporation
ISBN: 048614142X
Category : Science
Languages : en
Pages : 514
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Book Description
This graduate-level text focuses on the stability of adaptive systems, and offers a thorough understanding of the global stability properties essential to designing adaptive systems. Its self-contained, unified presentation of well-known results establishes the close connections between seemingly independent developments in the field. Prerequisites include a knowledge of linear algebra and differential equations, as well as a familiarity with basic concepts in linear systems theory. The first chapter sets the tone for the entire book, introducing basic concepts and tracing the evolution of the field from the 1960s through the 1980s. The first seven chapters are accessible to beginners, and the final four chapters are geared toward more advanced, research-oriented students. Problems ranging in complexity from relatively easy to quite difficult appear throughout the text. Topics include results in stability theory that emphasize incidents directly relevant to the study of adaptive systems; the stability properties of adaptive observers and controllers; the important concept of persistent excitation; the use of error models in systems analysis; areas of intense research activity; and five detailed case studies of systems in which adaptive control has proved successful
Author: Kumpati S. Narendra
Publisher: Courier Corporation
ISBN: 048614142X
Category : Science
Languages : en
Pages : 514
Get Book Here
Book Description
This graduate-level text focuses on the stability of adaptive systems, and offers a thorough understanding of the global stability properties essential to designing adaptive systems. Its self-contained, unified presentation of well-known results establishes the close connections between seemingly independent developments in the field. Prerequisites include a knowledge of linear algebra and differential equations, as well as a familiarity with basic concepts in linear systems theory. The first chapter sets the tone for the entire book, introducing basic concepts and tracing the evolution of the field from the 1960s through the 1980s. The first seven chapters are accessible to beginners, and the final four chapters are geared toward more advanced, research-oriented students. Problems ranging in complexity from relatively easy to quite difficult appear throughout the text. Topics include results in stability theory that emphasize incidents directly relevant to the study of adaptive systems; the stability properties of adaptive observers and controllers; the important concept of persistent excitation; the use of error models in systems analysis; areas of intense research activity; and five detailed case studies of systems in which adaptive control has proved successful
Author: John H. Holland
Publisher: MIT Press
ISBN: 026230497X
Category : Computers
Languages : en
Pages : 317
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Book Description
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.
Author: John H. Miller
Publisher: Princeton University Press
ISBN: 1400835526
Category : Social Science
Languages : en
Pages : 285
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Book Description
This book provides the first clear, comprehensive, and accessible account of complex adaptive social systems, by two of the field's leading authorities. Such systems--whether political parties, stock markets, or ant colonies--present some of the most intriguing theoretical and practical challenges confronting the social sciences. Engagingly written, and balancing technical detail with intuitive explanations, Complex Adaptive Systems focuses on the key tools and ideas that have emerged in the field since the mid-1990s, as well as the techniques needed to investigate such systems. It provides a detailed introduction to concepts such as emergence, self-organized criticality, automata, networks, diversity, adaptation, and feedback. It also demonstrates how complex adaptive systems can be explored using methods ranging from mathematics to computational models of adaptive agents. John Miller and Scott Page show how to combine ideas from economics, political science, biology, physics, and computer science to illuminate topics in organization, adaptation, decentralization, and robustness. They also demonstrate how the usual extremes used in modeling can be fruitfully transcended.
Author: James Patrick Brock
Publisher: Elsevier
ISBN: 0080542468
Category : Science
Languages : en
Pages : 657
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Book Description
The data of evolutionary biology have changed in a very radical way in recent years, the most significant input to this revolution being the advances made in developmental genetics. Another recent development is a noticeable shift away from extreme specialization in evolutionary biology. In this, we are perhaps to be reminded of George Gaylord Simpson's comments: "evolution is an incredibly complex but at the same time integrated and unitary process." The main objective of this book is to illustrate how natural adaptive systems evolve as a unity--with the particular objective of identifying and merging several special theories of evolution within the framework of a single general theory. The Evolution of Adaptive Systems provides an interdisciplinary overview of the general theory of evolution from the standpoint of the dynamic behavior of natural adaptive systems. The approach leads to a radically new fusion of the diverse disciplines of evolutionary biology, serving to resolve the considerable degree of conflict existing between different schools of contemporary thought. - The book is a timely volume written by a natural historian with a broad view of biology - The author draws examples from a large range of organisms from many different habitats and niches where interesting adaptations have evolved - Probes deeply into mechanisms of evolution such as developmental genetics, morphogenesis, chromosome structure, and cladogenesis - Clear definition of terms, with illustrations visualizing the main theoretical structures, and point-by-point summaries clearly stating the principal conclusions
Author: Danny Weyns
Publisher: John Wiley & Sons
ISBN: 1119574943
Category : Technology & Engineering
Languages : en
Pages : 288
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Book Description
A concise and practical introduction to the foundations and engineering principles of self-adaptation Though it has recently gained significant momentum, the topic of self-adaptation remains largely under-addressed in academic and technical literature. This book changes that. Using a systematic and holistic approach, An Introduction to Self-adaptive Systems: A Contemporary Software Engineering Perspective provides readers with an accessible set of basic principles, engineering foundations, and applications of self-adaptation in software-intensive systems. It places self-adaptation in the context of techniques like uncertainty management, feedback control, online reasoning, and machine learning while acknowledging the growing consensus in the software engineering community that self-adaptation will be a crucial enabling feature in tackling the challenges of new, emerging, and future systems. The author combines cutting-edge technical research with basic principles and real-world insights to create a practical and strategically effective guide to self-adaptation. He includes features such as: An analysis of the foundational engineering principles and applications of self-adaptation in different domains, including the Internet-of-Things, cloud computing, and cyber-physical systems End-of-chapter exercises at four different levels of complexity and difficulty An accompanying author-hosted website with slides, selected exercises and solutions, models, and code Perfect for researchers, students, teachers, industry leaders, and practitioners in fields that directly or peripherally involve software engineering, as well as those in academia involved in a class on self-adaptivity, this book belongs on the shelves of anyone with an interest in the future of software and its engineering.
Author: José C. Principe
Publisher: John Wiley & Sons
ISBN:
Category : Computers
Languages : en
Pages : 680
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Book Description
Develop New Insight into the Behavior of Adaptive Systems This one-of-a-kind interactive book and CD-ROM will help you develop a better understanding of the behavior of adaptive systems. Developed as part of a project aimed at innovating the teaching of adaptive systems in science and engineering, it unifies the concepts of neural networks and adaptive filters into a common framework. It begins by explaining the fundamentals of adaptive linear regression and builds on these concepts to explore pattern classification, function approximation, feature extraction, and time-series modeling/prediction. The text is integrated with the industry standard neural network/adaptive system simulator NeuroSolutions. This allows the authors to demonstrate and reinforce key concepts using over 200 interactive examples. Each of these examples is 'live,' allowing the user to change parameters and experiment first-hand with real-world adaptive systems. This creates a powerful environment for learning through both visualization and experimentation. Key Features of the Text The text and CD combine to become an interactive learning tool. Emphasis is on understanding the behavior of adaptive systems rather than mathematical derivations. Each key concept is followed by an interactive example. Over 200 fully functional simulations of adaptive systems are included. The text and CD offer a unified view of neural networks, adaptive filters, pattern recognition, and support vector machines. Hyperlinks allow instant access to keyword definitions, bibliographic references, equations, and advanced discussions of concepts. The CD-ROM Contains: A complete, electronic version of the text in hypertext format NeuroSolutions, an industry standard, icon-based neural network/adaptive system simulator A tutorial on how to use NeuroSolutions Additional data files to use with the simulator "An innovative approach to describing neurocomputing and adaptive learning systems from a perspective which unifies classical linear adaptive systems approaches with the modern advances in neural networks. It is rich in examples and practical insight." —James Zeidler, University of California, San Diego
Author: Nick C. Ellis
Publisher: John Wiley & Sons
ISBN: 144433400X
Category : Language Arts & Disciplines
Languages : en
Pages : 290
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Book Description
Explores a new approach to studying language as a complex adaptive system, illustrating its commonalities across many areas of language research Brings together a team of leading researchers in linguistics, psychology, and complex systems to discuss the groundbreaking significance of this perspective for their work Illustrates its application across a variety of subfields, including languages usage, language evolution, language structure, and first and second language acquisition "What a breath of fresh air! As interesting a collection of papers as you are likely to find on the evolution, learning, and use of language from the point of view of both cognitive underpinnings and communicative functions." Michael Tomasello, Max Planck Institute for Evolutionary Anthropology
Author: James A. Highsmith
Publisher: Dorset House Publishing Company, Incorporated
ISBN: 9780932633408
Category : Computer software
Languages : en
Pages : 0
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Book Description
- support an adaptive culture or mindset, in which change and uncertainty are assumed to be the natural state--not a false expectation of order- introduce frameworks to guide the iterative process of managing change- institute collaboration, the interaction of people on three levels: interpersonal, cultural, and structural- add rigor and discipline to the RAD approach, making it scalable to the uncertainty and complexity of real-life undertakings
Author: Harold J. Morowitz
Publisher: Routledge
ISBN: 0429972393
Category : Psychology
Languages : en
Pages : 395
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Book Description
Based upon a conference held in May 1993, this book discusses the intersection of neurobiology, cognitive psychology and computational approaches to cognition.
Author: Yang, Ang
Publisher: IGI Global
ISBN: 1599047195
Category : Computers
Languages : en
Pages : 380
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Book Description
"This book explores the foundation, history, and theory of intelligent adaptive systems, providing a fundamental resource on topics such as the emergence of intelligent adaptive systems in social sciences, biologically inspired artificial social systems, sensory information processing, as well as the conceptual and methodological issues and approaches to intelligent adaptive systems"--Provided by publisher.
