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Adaptive Intelligent Systems
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Author :Society for Worldwide Society for Worldwide Interban Publisher :Elsevier ISBN 13 :1483298159 Total Pages :259 pages Book Rating :4.4/5 (832 download)
Book Synopsis Adaptive Intelligent Systems by : Society for Worldwide Society for Worldwide Interban
Download or read book Adaptive Intelligent Systems written by Society for Worldwide Society for Worldwide Interban and published by Elsevier. This book was released on 2014-06-28 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dedicated to the consideration of advanced I.T. technologies and their financial applications, this volume contains contributions from an international group of system developers and managers from academia, the financial industry and their suppliers: all actively involved in the development and practical introduction of these technologies into banking and financial organisations.Concentrating on real experience and present needs, rather than theoretical possibilities or limited prototype applications, it is hoped the publication will give a better insight into advanced I.T. practice and potential as it currently exists and motivate today's developers and researchers.In addition to the discussion of a wide range of technologies and approaches to ensure adaptivity, three other major topics are explored in the book: neural networks, classical software engineering techniques and rule-based systems.
Book Synopsis Intelligent Adaptive Systems by : Ming Hou
Download or read book Intelligent Adaptive Systems written by Ming Hou and published by CRC Press. This book was released on 2014-12-02 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: As ubiquitous as the atmosphere, intelligent adaptive systems (IASs) surround us in our daily lives. When designed well, these systems sense users and their environments so that they can provide support in a manner that is not only responsive to the evolving situation, but unnoticed by the user. A synthesis of recent research and developments on IASs from the human factors (HF) and human–computer interaction (HCI) domains, Intelligent Adaptive Systems: An Interaction-Centered Design Perspective provides integrated design guidance and recommendations for researchers and system developers. The book explores a recognized lack of integration between the HF and HCI research communities, which has led to inconsistencies between the research approaches adopted, and a lack of exploitation of research from one field by the other. The authors integrate theories and methodologies from these domains to provide design recommendations for human–machine developers. They then establish design guidance through the review of conceptual frameworks, analytical methodologies, and design processes for intelligent adaptive systems. The book draws on case studies from the military, medical, and distance learning domains to illustrate intelligent system design to examine lessons learned. Outlining an interaction-centered perspective for designing an IAS, the book details methodologies for understanding human work in complex environments and offers understanding about why and how optimizing human–machine interaction should be central to the design of IASs. The authors present an analytical and design methodology as well as an implementation strategy that helps you choose the proper design framework for your needs.
Book Synopsis Intelligent Complex Adaptive Systems by : Yang, Ang
Download or read book Intelligent Complex Adaptive Systems written by Yang, Ang and published by IGI Global. This book was released on 2008-03-31 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.
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 359 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 Prerational Intelligence by : Holk Cruse
Download or read book Prerational Intelligence written by Holk Cruse and published by Springer Science & Business Media. This book was released on 2000 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Functional Adaptive Control by : Simon G. Fabri
Download or read book Functional Adaptive Control written by Simon G. Fabri and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unique in its systematic approach to stochastic systems, this book presents a wide range of techniques that lead to novel strategies for effecting intelligent control of complex systems that are typically characterised by uncertainty, nonlinear dynamics, component failure, unpredictable disturbances, multi-modality and high dimensional spaces.
Book Synopsis Adaptive Business Intelligence by : Zbigniew Michalewicz
Download or read book Adaptive Business Intelligence written by Zbigniew Michalewicz and published by Springer Science & Business Media. This book was released on 2006-12-02 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive business intelligence systems combine prediction and optimization techniques to assist decision makers in complex, rapidly changing environments. These systems address fundamental questions: What is likely to happen in the future? What is the best course of action? Adaptive Business Intelligence explores elements of data mining, predictive modeling, forecasting, optimization, and adaptability. The book explains the application of numerous prediction and optimization techniques, and shows how these concepts can be used to develop adaptive systems. Coverage includes linear regression, time-series forecasting, decision trees and tables, artificial neural networks, genetic programming, fuzzy systems, genetic algorithms, simulated annealing, tabu search, ant systems, and agent-based modeling.
Book Synopsis Self-Adaptive Systems for Machine Intelligence by : Haibo He
Download or read book Self-Adaptive Systems for Machine Intelligence written by Haibo He and published by John Wiley & Sons. This book was released on 2011-08-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book will advance the understanding and application of self-adaptive intelligent systems; therefore it will potentially benefit the long-term goal of replicating certain levels of brain-like intelligence in complex and networked engineering systems. It will provide new approaches for adaptive systems within uncertain environments. This will provide an opportunity to evaluate the strengths and weaknesses of the current state-of-the-art of knowledge, give rise to new research directions, and educate future professionals in this domain. Self-adaptive intelligent systems have wide applications from military security systems to civilian daily life. In this book, different application problems, including pattern recognition, classification, image recovery, and sequence learning, will be presented to show the capability of the proposed systems in learning, memory, and prediction. Therefore, this book will also provide potential new solutions to many real-world applications.
Book Synopsis Intelligent and Adaptive Educational-Learning Systems by : Alejandro Peña-Ayala
Download or read book Intelligent and Adaptive Educational-Learning Systems written by Alejandro Peña-Ayala and published by Springer Science & Business Media. This book was released on 2012-08-10 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Smart Innovation, Systems and Technologies book series encompasses the topics of knowledge, intelligence, innovation and sustainability. The aim of the series is to make available a platform for the publication of books on all aspects of single and multi-disciplinary research on these themes in order to make the latest results available in a readily-accessible form. This book is devoted to the “Intelligent and Adaptive Educational-Learning Systems”. It privileges works that highlight key achievements and outline trends to inspire future research. After a rigorous revision process twenty manuscripts were accepted and organized into four parts: Modeling, Content, Virtuality and Applications. This volume is of interest to researchers, practitioners, professors and postgraduate students aimed to update their knowledge and find out targets for future work in the field of artificial intelligence on education.
Book Synopsis The Handbook On Reasoning-based Intelligent Systems by : Kazumi Nakamatsu
Download or read book The Handbook On Reasoning-based Intelligent Systems written by Kazumi Nakamatsu and published by World Scientific. This book was released on 2013-01-18 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book consists of various contributions in conjunction with the keywords “reasoning” and “intelligent systems”, which widely covers theoretical to practical aspects of intelligent systems. Therefore, it is suitable for researchers or graduate students who want to study intelligent systems generally.
Book Synopsis Smart Computing and Self-Adaptive Systems by : Simar Preet Singh
Download or read book Smart Computing and Self-Adaptive Systems written by Simar Preet Singh and published by CRC Press. This book was released on 2021-12-19 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book intends to cover various problematic aspects of emerging smart computing and self-adapting technologies comprising of machine learning, artificial intelligence, deep learning, robotics, cloud computing, fog computing, data mining algorithms, including emerging intelligent and smart applications related to these research areas. Further coverage includes implementation of self-adaptation architecture for smart devices, self-adaptive models for smart cities and self-driven cars, decentralized self-adaptive computing at the edge networks, energy-aware AI-based systems, M2M networks, sensors, data analytics, algorithms and tools for engineering self-adaptive systems, and so forth. Acts as guide to Self-healing and Self-adaptation based fully automatic future technologies Discusses about Smart Computational abilities and self-adaptive systems Illustrates tools and techniques for data management and explains the need to apply, and data integration for improving efficiency of big data Exclusive chapter on the future of self-stabilizing and self-adaptive systems of systems Covers fields such as automation, robotics, medical sciences, biomedical and agricultural sciences, healthcare and so forth This book is aimed researchers and graduate students in machine learning, information technology, and artificial intelligence.
Book Synopsis Adaptive Intelligence by : Robert J. Sternberg
Download or read book Adaptive Intelligence written by Robert J. Sternberg and published by Cambridge University Press. This book was released on 2021-02-04 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: High IQs don't improve the world. Adaptive intelligence does, because it prioritizes the common good over individual success.
Book Synopsis Intelligence as Adaptive Behavior by : Randall D. Beer
Download or read book Intelligence as Adaptive Behavior written by Randall D. Beer and published by . This book was released on 1990 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: The "intelligence" of traditional artificial intelligence systems is notoriously narrow and inflexible--incapable of adapting to the constantly changing circumstances of the real world. Although traditional artificial intelligence systems can be successful in narrowly prescribed domains, they are inappropriate for dynamic, complex domains, such as autonomous robot navigation.**This book proposes an alternative methodology for designing intelligent systems based on a model of intelligence as adaptive behavior. The author describes an experiment in computational neuroethology--the computer modeling of neuronal control of behavior--in which the nervous system for an artificial insect is modeled. The experiment demonstrates that simple, complete intelligent agents are able to cope with complex, dynamic environments--suggesting that adaptive models of intelligence, based on biological bases of adaptive behavior, may prove to be very useful in the design of intelligent, autonomous systems
Book Synopsis Modelling and Control for Intelligent Industrial Systems by : Gerasimos Rigatos
Download or read book Modelling and Control for Intelligent Industrial Systems written by Gerasimos Rigatos and published by Springer Science & Business Media. This book was released on 2011-02-02 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Incorporating intelligence in industrial systems can help to increase productivity, cut-off production costs, and to improve working conditions and safety in industrial environments. This need has resulted in the rapid development of modeling and control methods for industrial systems and robots, of fault detection and isolation methods for the prevention of critical situations in industrial work-cells and production plants, of optimization methods aiming at a more profitable functioning of industrial installations and robotic devices and of machine intelligence methods aiming at reducing human intervention in industrial systems operation. To this end, the book analyzes and extends some main directions of research in modeling and control for industrial systems. These are: (i) industrial robots, (ii) mobile robots and autonomous vehicles, (iii) adaptive and robust control of electromechanical systems, (iv) filtering and stochastic estimation for multisensor fusion and sensorless control of industrial systems (iv) fault detection and isolation in robotic and industrial systems, (v) optimization in industrial automation and robotic systems design, and (vi) machine intelligence for robots autonomy. The book will be a useful companion to engineers and researchers since it covers a wide spectrum of problems in the area of industrial systems. Moreover, the book is addressed to undergraduate and post-graduate students, as an upper-level course supplement of automatic control and robotics courses.
Book Synopsis Applications of Complex Adaptive Systems by : Shan, Yin
Download or read book Applications of Complex Adaptive Systems written by Shan, Yin and published by IGI Global. This book was released on 2008-02-28 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides an estimable global view of the most up-to-date research on the strategies, applications, practice, and implications of complex adaptive systems, to better understand the various critical systems that surround human life. Researchers will find this book an indispensable state-of-art reference"--Provided by publisher.
Book Synopsis Applications of Neural Adaptive Control Technology by : Jens Kalkkuhl
Download or read book Applications of Neural Adaptive Control Technology written by Jens Kalkkuhl and published by World Scientific. This book was released on 1997 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the results of the second workshop on Neural Adaptive Control Technology, NACT II, held on September 9-10, 1996, in Berlin. The workshop was organised in connection with a three-year European-Union-funded Basic Research Project in the ESPRIT framework, called NACT, a collaboration between Daimler-Benz (Germany) and the University of Glasgow (Scotland).The NACT project, which began on 1 April 1994, is a study of the fundamental properties of neural-network-based adaptive control systems. Where possible, links with traditional adaptive control systems are exploited. A major aim is to develop a systematic engineering procedure for designing neural controllers for nonlinear dynamic systems. The techniques developed are being evaluated on concrete industrial problems from within the Daimler-Benz group of companies.The aim of the workshop was to bring together selected invited specialists in the fields of adaptive control, nonlinear systems and neural networks. The first workshop (NACT I) took place in Glasgow in May 1995 and was mainly devoted to theoretical issues of neural adaptive control. Besides monitoring further development of theory, the NACT II workshop was focused on industrial applications and software tools. This context dictated the focus of the book and guided the editors in the choice of the papers and their subsequent reshaping into substantive book chapters. Thus, with the project having progressed into its applications stage, emphasis is put on the transfer of theory of neural adaptive engineering into industrial practice. The contributors are therefore both renowned academics and practitioners from major industrial users of neurocontrol.
Book Synopsis An Introduction to Self-adaptive Systems by : Danny Weyns
Download or read book An Introduction to Self-adaptive Systems written by Danny Weyns and published by John Wiley & Sons. This book was released on 2020-10-05 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
