Adaptive And Learning Systems

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Intelligent and Adaptive Educational-Learning Systems

Author : Alejandro Peña-Ayala
Publisher : Springer Science & Business Media
ISBN 13 : 3642301711
Total Pages : 522 pages
Book Rating : 4.6/5 (423 download)

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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.

Adaptive and Learning Systems

Author : Kumpati S. Narendra
Publisher : Springer Science & Business Media
ISBN 13 : 1475718950
Total Pages : 410 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Adaptive and Learning Systems by : Kumpati S. Narendra

Download or read book Adaptive and Learning Systems written by Kumpati S. Narendra and published by Springer Science & Business Media. This book was released on 2013-11-22 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume offers a glimpse of the status of research in adaptive and learning systems in 1985. In recent years these areas have spawned a multiplicity of ideas so rapidly that the average research worker or practicing engineer is overwhelmed by the flood of information. The Yale Workshop on Applications of Adaptive Systems Theory was organized in 1979 to provide a brief respite from this deluge, wherein critical issues may be examined in a calm and collegial environment. The fourth of the series having been held in May 1985, it has now become well established as a biennial forum for the lively exchange of ideas in the ever changing domain of adaptive systems. The scope of this book is broad and ranges from theoretical investigations to practical applications. It includes twenty eight papers by leaders in the field, selected from the Pro ceedings of the Fourth Yale Workshop and divided into five sections. I have provided a brief introduction to each section so that it can be read as a self-contained unit. The first section, devoted to adaptive control theory, suggests the intensity of activity in the field and reveals signs of convergence towards some common themes by workers with rather different moti vation. Preliminary results concerning the reduced order model problem are dramatically changing the way we view the field and bringing it closer to other areas such as robust linear control where major advances have been recently reported.

Intelligent and Adaptive Learning Systems

Author : Sabine Graf
Publisher : IGI Global
ISBN 13 : 9781609608422
Total Pages : 0 pages
Book Rating : 4.6/5 (84 download)

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Book Synopsis Intelligent and Adaptive Learning Systems by : Sabine Graf

Download or read book Intelligent and Adaptive Learning Systems written by Sabine Graf and published by IGI Global. This book was released on 2012 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book focuses on how intelligent support and adaptive features can be integrated in currently used learning systems and discusses how intelligent and adaptive learning systems can be improved in order to provide a better learning environment for learners"--Provided by publisher.

Principles of Adaptive Filters and Self-learning Systems

Author : Anthony Zaknich
Publisher : Springer Science & Business Media
ISBN 13 : 1846281210
Total Pages : 397 pages
Book Rating : 4.8/5 (462 download)

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Book Synopsis Principles of Adaptive Filters and Self-learning Systems by : Anthony Zaknich

Download or read book Principles of Adaptive Filters and Self-learning Systems written by Anthony Zaknich and published by Springer Science & Business Media. This book was released on 2005-08-19 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: Teaches students about classical and nonclassical adaptive systems within one pair of covers Helps tutors with time-saving course plans, ready-made practical assignments and examination guidance The recently developed "practical sub-space adaptive filter" allows the reader to combine any set of classical and/or non-classical adaptive systems to form a powerful technology for solving complex nonlinear problems

Adaptive Learning Methods for Nonlinear System Modeling

Author : Danilo Comminiello
Publisher : Butterworth-Heinemann
ISBN 13 : 0128129778
Total Pages : 390 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Adaptive Learning Methods for Nonlinear System Modeling by : Danilo Comminiello

Download or read book Adaptive Learning Methods for Nonlinear System Modeling written by Danilo Comminiello and published by Butterworth-Heinemann. This book was released on 2018-06-11 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive Learning Methods for Nonlinear System Modeling presents some of the recent advances on adaptive algorithms and machine learning methods designed for nonlinear system modeling and identification. Real-life problems always entail a certain degree of nonlinearity, which makes linear models a non-optimal choice. This book mainly focuses on those methodologies for nonlinear modeling that involve any adaptive learning approaches to process data coming from an unknown nonlinear system. By learning from available data, such methods aim at estimating the nonlinearity introduced by the unknown system. In particular, the methods presented in this book are based on online learning approaches, which process the data example-by-example and allow to model even complex nonlinearities, e.g., showing time-varying and dynamic behaviors. Possible fields of applications of such algorithms includes distributed sensor networks, wireless communications, channel identification, predictive maintenance, wind prediction, network security, vehicular networks, active noise control, information forensics and security, tracking control in mobile robots, power systems, and nonlinear modeling in big data, among many others. This book serves as a crucial resource for researchers, PhD and post-graduate students working in the areas of machine learning, signal processing, adaptive filtering, nonlinear control, system identification, cooperative systems, computational intelligence. This book may be also of interest to the industry market and practitioners working with a wide variety of nonlinear systems. Presents the key trends and future perspectives in the field of nonlinear signal processing and adaptive learning. Introduces novel solutions and improvements over the state-of-the-art methods in the very exciting area of online and adaptive nonlinear identification. Helps readers understand important methods that are effective in nonlinear system modelling, suggesting the right methodology to address particular issues.

UM99 User Modeling

Author : Judy Kay
Publisher : Springer
ISBN 13 : 3709124905
Total Pages : 382 pages
Book Rating : 4.7/5 (91 download)

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Book Synopsis UM99 User Modeling by : Judy Kay

Download or read book UM99 User Modeling written by Judy Kay and published by Springer. This book was released on 2014-05-04 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: User modeling researchers look for ways of enabling interactive software systems to adapt to their users-by constructing, maintaining, and exploiting user models, which are representations of properties of individual users. User modeling has been found to enhance the effectiveness and/or usability of software systems in a wide variety of situations. Techniques for user modeling have been developed and evaluated by researchers in a number of fields, including artificial intelligence, education, psychology, linguistics, human-computer interaction, and information science. The biennial series of International Conferences on User Modeling provides a forum in which academic and industrial researchers from all of these fields can exchange their complementary insights on user modeling issues. The published proceedings of these conferences represent a major source of information about developments in this area.

Innovative Learning Environments in STEM Higher Education

Author : Jungwoo Ryoo
Publisher : Springer Nature
ISBN 13 : 303058948X
Total Pages : 148 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Innovative Learning Environments in STEM Higher Education by : Jungwoo Ryoo

Download or read book Innovative Learning Environments in STEM Higher Education written by Jungwoo Ryoo and published by Springer Nature. This book was released on 2021-03-11 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: As explored in this open access book, higher education in STEM fields is influenced by many factors, including education research, government and school policies, financial considerations, technology limitations, and acceptance of innovations by faculty and students. In 2018, Drs. Ryoo and Winkelmann explored the opportunities, challenges, and future research initiatives of innovative learning environments (ILEs) in higher education STEM disciplines in their pioneering project: eXploring the Future of Innovative Learning Environments (X-FILEs). Workshop participants evaluated four main ILE categories: personalized and adaptive learning, multimodal learning formats, cross/extended reality (XR), and artificial intelligence (AI) and machine learning (ML). This open access book gathers the perspectives expressed during the X-FILEs workshop and its follow-up activities. It is designed to help inform education policy makers, researchers, developers, and practitioners about the adoption and implementation of ILEs in higher education.

Personalizing Training With Adaptive Learning Systems

Author : James Bennett
Publisher : Association for Talent Development
ISBN 13 : 1562864394
Total Pages : 24 pages
Book Rating : 4.5/5 (628 download)

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Book Synopsis Personalizing Training With Adaptive Learning Systems by : James Bennett

Download or read book Personalizing Training With Adaptive Learning Systems written by James Bennett and published by Association for Talent Development. This book was released on 2018-05-01 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive learning systems allow corporations to enhance and adjust training to the individual learner. Adaptive learning also allows companies to measure and assess what training participants have learned and how to further help them. In “Personalizing Training With Adaptive Learning Systems,” James Bennett presents an overview of adaptive learning and then dives deeper into details that will make working with adaptive learning systems much easier and more effective. This issue of TD at Work: · identifies the types of problems adaptive learning solves · defines common components of adaptive learning systems · discusses designing and developing in an adaptive system, including providing a design steps template · addresses what to look for when choosing an adaptive learning system.

Learning for Adaptive and Reactive Robot Control

Author : Aude Billard
Publisher : MIT Press
ISBN 13 : 0262367017
Total Pages : 425 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Learning for Adaptive and Reactive Robot Control by : Aude Billard

Download or read book Learning for Adaptive and Reactive Robot Control written by Aude Billard and published by MIT Press. This book was released on 2022-02-08 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Methods by which robots can learn control laws that enable real-time reactivity using dynamical systems; with applications and exercises. This book presents a wealth of machine learning techniques to make the control of robots more flexible and safe when interacting with humans. It introduces a set of control laws that enable reactivity using dynamical systems, a widely used method for solving motion-planning problems in robotics. These control approaches can replan in milliseconds to adapt to new environmental constraints and offer safe and compliant control of forces in contact. The techniques offer theoretical advantages, including convergence to a goal, non-penetration of obstacles, and passivity. The coverage of learning begins with low-level control parameters and progresses to higher-level competencies composed of combinations of skills. Learning for Adaptive and Reactive Robot Control is designed for graduate-level courses in robotics, with chapters that proceed from fundamentals to more advanced content. Techniques covered include learning from demonstration, optimization, and reinforcement learning, and using dynamical systems in learning control laws, trajectory planning, and methods for compliant and force control . Features for teaching in each chapter: applications, which range from arm manipulators to whole-body control of humanoid robots; pencil-and-paper and programming exercises; lecture videos, slides, and MATLAB code examples available on the author’s website . an eTextbook platform website offering protected material[EPS2] for instructors including solutions.

The Master Adaptive Learner

Author : William Cutrer
Publisher : Elsevier Health Sciences
ISBN 13 : 032371112X
Total Pages : 242 pages
Book Rating : 4.3/5 (237 download)

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Book Synopsis The Master Adaptive Learner by : William Cutrer

Download or read book The Master Adaptive Learner written by William Cutrer and published by Elsevier Health Sciences. This book was released on 2019-09-29 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tomorrow’s best physicians will be those who continually learn, adjust, and innovate as new information and best practices evolve, reflecting adaptive expertise in response to practice challenges. As the first volume in the American Medical Association’s MedEd Innovation Series, The Master Adaptive Learner is an instructor-focused guide covering models for how to train and teach future clinicians who need to develop these adaptive skills and utilize them throughout their careers. Explains and clarifies the concept of a Master Adaptive Learner: a metacognitive approach to learning based on self-regulation that fosters the success and use of adaptive expertise in practice. Contains both theoretical and practical material for instructors and administrators, including guidance on how to implement a Master Adaptive Learner approach in today’s institutions. Gives instructors the tools needed to empower students to become efficient and successful adaptive learners. Helps medical faculty and instructors address gaps in physician training and prepare new doctors to practice effectively in 21st century healthcare systems. One of the American Medical Association Change MedEd initiatives and innovations, written and edited by members of the ACE (Accelerating Change in Medical Education) Consortium – a unique, innovative collaborative that allows for the sharing and dissemination of groundbreaking ideas and projects.

Adaptive and Learning Systems

Author : Kumpati S. Narendra
Publisher :
ISBN 13 : 9781475718966
Total Pages : 432 pages
Book Rating : 4.7/5 (189 download)

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Book Synopsis Adaptive and Learning Systems by : Kumpati S. Narendra

Download or read book Adaptive and Learning Systems written by Kumpati S. Narendra and published by . This book was released on 2014-09-01 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advanced Intelligent Systems for Sustainable Development (AI2SD’2019)

Author : Mostafa Ezziyyani
Publisher : Springer Nature
ISBN 13 : 3030366537
Total Pages : 256 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Advanced Intelligent Systems for Sustainable Development (AI2SD’2019) by : Mostafa Ezziyyani

Download or read book Advanced Intelligent Systems for Sustainable Development (AI2SD’2019) written by Mostafa Ezziyyani and published by Springer Nature. This book was released on 2020-01-03 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the latest researches on advanced intelligent systems applied in the field of education presented during the second edition of the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD’2019) held on July 08–11, 2019, in Marrakech, Morocco. The book proposes new approaches and innovative strategies for the manipulation of data and big data collected from the educational environment, exploiting the analysis tools, algorithms of artificial intelligence, and machine learning techniques, in order to extract results, which allow improving the performance and effectiveness of the education field, which is a strategic lever for sustainable development. The book deals with concepts, strategies, and approaches developed on various current axes of scientific research in the field of education, such as smart e-learning, smart education (smart classroom, smart assessment and smart teaching and learning technologies), massive open online courses (MOOC), courseware design, and development for smart learning, cloud learning, and mobile learning. The book is intended for all actors in the educational sector, namely students, professors, academic researchers, and stakeholders. It constitutes a large-scale forum for the exchange of ideas, approaches, and innovative techniques between these actors on the development and innovation of the field of education with the revolution 4.0. The authors of each chapter report the state of the art of the various topics addressed and present results of their own research, laboratory experiments, and successful applications. The purpose of this session is to share the idea of advanced intelligent systems with appropriate tools and techniques for modeling, management, and decision support in the field of education.

Adaptive Micro Learning

Author : Geng Sun (Researcher on educational technology)
Publisher : World Scientific
ISBN 13 : 9811207461
Total Pages : 151 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Adaptive Micro Learning by : Geng Sun (Researcher on educational technology)

Download or read book Adaptive Micro Learning written by Geng Sun (Researcher on educational technology) and published by World Scientific. This book was released on 2020 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Personalization and Collaboration in Adaptive E-Learning

Author : Tadlaoui, Mouenis Anouar
Publisher : IGI Global
ISBN 13 : 1799814947
Total Pages : 348 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Personalization and Collaboration in Adaptive E-Learning by : Tadlaoui, Mouenis Anouar

Download or read book Personalization and Collaboration in Adaptive E-Learning written by Tadlaoui, Mouenis Anouar and published by IGI Global. This book was released on 2019-12-13 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: As part of e-learning, adaptive systems are more specialized and focus on the adaptation of learning content and presentation of this content. An adaptive system focuses on how knowledge is learned and pays attention to the activities, cognitive structures, and context of the learning material. The adaptive term refers to the automatic adaptation of the system to the learner. The needs of the learner are borne by the system itself. The learner did not ask to change the parameters of the system to his own needs; it is rather the needs of the learner that will be supposed by the system. The system adapts according to this necessity. Personalization and Collaboration in Adaptive E-Learning is an essential reference book that aims to describe the specific steps in designing a scenario for a collaborative learning activity in the particular context of personalization in adaptive systems and the key decisions that need to be made by the teacher-learner. By applying theoretical and practical aspects of personalization in adaptive systems and applications within education, this collection features coverage on a broad range of topics that include adaptive teaching, personalized learning, and instructional design. This book is ideally designed for instructional designers, curriculum developers, educational software developers, IT specialists, educational administrators, professionals, professors, researchers, and students seeking current research on comparative studies and the pedagogical issues of personalized and collaborative learning.

Adaptive Control Design and Analysis

Author : Gang Tao
Publisher : John Wiley & Sons
ISBN 13 : 9780471274520
Total Pages : 652 pages
Book Rating : 4.2/5 (745 download)

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Book Synopsis Adaptive Control Design and Analysis by : Gang Tao

Download or read book Adaptive Control Design and Analysis written by Gang Tao and published by John Wiley & Sons. This book was released on 2003-07-09 with total page 652 pages. Available in PDF, EPUB and Kindle. Book excerpt: A systematic and unified presentation of the fundamentals of adaptive control theory in both continuous time and discrete time Today, adaptive control theory has grown to be a rigorous and mature discipline. As the advantages of adaptive systems for developing advanced applications grow apparent, adaptive control is becoming more popular in many fields of engineering and science. Using a simple, balanced, and harmonious style, this book provides a convenient introduction to the subject and improves one's understanding of adaptive control theory. Adaptive Control Design and Analysis features: Introduction to systems and control Stability, operator norms, and signal convergence Adaptive parameter estimation State feedback adaptive control designs Parametrization of state observers for adaptive control Unified continuous and discrete-time adaptive control L1+a robustness theory for adaptive systems Direct and indirect adaptive control designs Benchmark comparison study of adaptive control designs Multivariate adaptive control Nonlinear adaptive control Adaptive compensation of actuator nonlinearities End-of-chapter discussion, problems, and advanced topics As either a textbook or reference, this self-contained tutorial of adaptive control design and analysis is ideal for practicing engineers, researchers, and graduate students alike.

Innovative Trends in Personalized Software Engineering and Information Systems

Author : C. Troussas
Publisher : IOS Press
ISBN 13 : 1643680978
Total Pages : 106 pages
Book Rating : 4.6/5 (436 download)

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Book Synopsis Innovative Trends in Personalized Software Engineering and Information Systems by : C. Troussas

Download or read book Innovative Trends in Personalized Software Engineering and Information Systems written by C. Troussas and published by IOS Press. This book was released on 2020-08-04 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, Innovative Trends in Personalized Software Engineering and Information Systems – The Case of Intelligent and Adaptive E-learning Systems, studies the development of personalized and knowledge-based systems with the purpose of developing fully-automated adaptive software, mainly focusing on enhancing digital learning. The authors cover several integral phases of software engineering and their application in the effective implementation of sophisticated learning technology systems. Systems development and systems evaluation, tailored to adaptive e-learning, are examined in depth. More specifically, intelligent and knowledge-based techniques, such as artificial neural networks, fuzzy logic, genetic algorithms, pattern recognition, learning analytics and data mining, as well as evaluation frameworks adapted to digital learning software are presented. This publication will be of interest to scientists from various disciplines, including computer science, artificial intelligence, education and psychology, and will help researchers working in computer science and engineering to build intelligent and adaptive learning technology systems by employing personalization techniques while following the basic concepts of software engineering and information systems. It will also serve as a valuable tool for junior and senior scientists, supporting their research activities in the field of personalized and knowledge-based software engineering, and instructors will be able to use the book as a guide to the effective design and development of intelligent systems in education.

Anticipatory Behavior in Adaptive Learning Systems

Author : Martin V. Butz
Publisher : Springer
ISBN 13 : 354074262X
Total Pages : 382 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Anticipatory Behavior in Adaptive Learning Systems by : Martin V. Butz

Download or read book Anticipatory Behavior in Adaptive Learning Systems written by Martin V. Butz and published by Springer. This book was released on 2007-09-19 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the refereed post-proceedings of the Third International Workshop on Anticipatory Behavior in Adaptive Learning Systems. Twenty full papers were chosen from among the many submissions. Papers are organized into sections covering anticipatory aspects in brains, language, and cognition; individual anticipatory frameworks; learning predictions and anticipations; anticipatory individual behavior; and anticipatory social behavior.