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Autonomous Learning Systems
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Book Synopsis Autonomous Learning Systems by : Plamen Angelov
Download or read book Autonomous Learning Systems written by Plamen Angelov and published by John Wiley & Sons. This book was released on 2012-11-06 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: Autonomous Learning Systems is the result of over a decade of focused research and studies in this emerging area which spans a number of well-known and well-established disciplines that include machine learning, system identification, data mining, fuzzy logic, neural networks, neuro-fuzzy systems, control theory and pattern recognition. The evolution of these systems has been both industry-driven with an increasing demand from sectors such as defence and security, aerospace and advanced process industries, bio-medicine and intelligent transportation, as well as research-driven – there is a strong trend of innovation of all of the above well-established research disciplines that is linked to their on-line and real-time application; their adaptability and flexibility. Providing an introduction to the key technologies, detailed technical explanations of the methodology, and an illustration of the practical relevance of the approach with a wide range of applications, this book addresses the challenges of autonomous learning systems with a systematic approach that lays the foundations for a fast growing area of research that will underpin a range of technological applications vital to both industry and society. Key features: Presents the subject systematically from explaining the fundamentals to illustrating the proposed approach with numerous applications. Covers a wide range of applications in fields including unmanned vehicles/robotics, oil refineries, chemical industry, evolving user behaviour and activity recognition. Reviews traditional fields including clustering, classification, control, fault detection and anomaly detection, filtering and estimation through the prism of evolving and autonomously learning mechanisms. Accompanied by a website hosting additional material, including the software toolbox and lecture notes. Autonomous Learning Systems provides a ‘one-stop shop’ on the subject for academics, students, researchers and practicing engineers. It is also a valuable reference for Government agencies and software developers.
Book Synopsis Autonomous Learning Systems by : Plamen P. Angelov
Download or read book Autonomous Learning Systems written by Plamen P. Angelov and published by John Wiley & Sons. This book was released on 2013-01-01 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Autonomous Learning from the Environment by : Wei-Min Shen
Download or read book Autonomous Learning from the Environment written by Wei-Min Shen and published by Computer Science Press, Incorporated. This book was released on 1994 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: A significant contribution to the scientific foundation of autonomous learning systems, this book contains clear, up-to-date coverage of three basic subtasks: active model abstraction, model application, and integration. It is the only textbook to offer a thorough discussion of active model abstraction.
Book Synopsis Intelligent Autonomous Systems by : Dilip Kumar Pratihar
Download or read book Intelligent Autonomous Systems written by Dilip Kumar Pratihar and published by Springer Science & Business Media. This book was released on 2010-02-24 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: This research book contains a sample of most recent research in the area of intelligent autonomous systems. The contributions include: General aspects of intelligent autonomous systems Design of intelligent autonomous robots Biped robots Robot for stair-case navigation Ensemble learning for multi-source information fusion Intelligent autonomous systems in psychiatry Condition monitoring of internal combustion engine Security management of an enterprise network High dimensional neural nets and applications This book is directed to engineers, scientists, professor and the undergraduate/postgraduate students who wish to explore this field further.
Book Synopsis Autonomous Learning in the Workplace by : Jill E. Ellingson
Download or read book Autonomous Learning in the Workplace written by Jill E. Ellingson and published by Taylor & Francis. This book was released on 2017-03-27 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traditionally, organizations and researchers have focused on learning that occurs through formal training and development programs. However, the realities of today’s workplace suggest that it is difficult, if not impossible, for organizations to rely mainly on formal programs for developing human capital. This volume offers a broad-based treatment of autonomous learning to advance our understanding of learner-driven approaches and how organizations can support them. Contributors in industrial/organizational psychology, management, education, and entrepreneurship bring theoretical perspectives to help us understand autonomous learning and its consequences for individuals and organizations. Chapters consider informal learning, self-directed learning, learning from job challenges, mentoring, Massive Open Online Courses (MOOCs), organizational communities of practice, self-regulation, the role of feedback and errors, and how to capture value from autonomous learning. This book will appeal to scholars, researchers, and practitioners in psychology, management, training and development, and educational psychology.
Book Synopsis Layered Learning in Multiagent Systems by : Peter Stone
Download or read book Layered Learning in Multiagent Systems written by Peter Stone and published by MIT Press. This book was released on 2000-03-03 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book looks at multiagent systems that consist of teams of autonomous agents acting in real-time, noisy, collaborative, and adversarial environments. This book looks at multiagent systems that consist of teams of autonomous agents acting in real-time, noisy, collaborative, and adversarial environments. The book makes four main contributions to the fields of machine learning and multiagent systems. First, it describes an architecture within which a flexible team structure allows member agents to decompose a task into flexible roles and to switch roles while acting. Second, it presents layered learning, a general-purpose machine-learning method for complex domains in which learning a mapping directly from agents' sensors to their actuators is intractable with existing machine-learning methods. Third, the book introduces a new multiagent reinforcement learning algorithm—team-partitioned, opaque-transition reinforcement learning (TPOT-RL)—designed for domains in which agents cannot necessarily observe the state-changes caused by other agents' actions. The final contribution is a fully functioning multiagent system that incorporates learning in a real-time, noisy domain with teammates and adversaries—a computer-simulated robotic soccer team. Peter Stone's work is the basis for the CMUnited Robotic Soccer Team, which has dominated recent RoboCup competitions. RoboCup not only helps roboticists to prove their theories in a realistic situation, but has drawn considerable public and professional attention to the field of intelligent robotics. The CMUnited team won the 1999 Stockholm simulator competition, outscoring its opponents by the rather impressive cumulative score of 110-0.
Book Synopsis New Autonomous Systems by : Alain Cardon
Download or read book New Autonomous Systems written by Alain Cardon and published by John Wiley & Sons. This book was released on 2016-03-14 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: The idea of autonomous systems that are able to make choices according to properties which allow them to experience, apprehend and assess their environment is becoming a reality. These systems are capable of auto-configuration and self-organization. This book presents a model for the creation of autonomous systems based on a complex substratum, made up of multiple electronic components that deploy a variety of specific features. This substratum consists of multi-agent systems which act continuously and autonomously to collect information from the environment which they then feed into the global system, allowing it to generate discerning and concrete representations of its surroundings. These systems are able to construct a so-called artificial corporeity which allows them to have a sense of self, to then behave autonomously, in a way reminiscent of living organisms.
Book Synopsis Bayesian Methods for Autonomous Learning Systems by : Jo-Anne S.Y. Ting
Download or read book Bayesian Methods for Autonomous Learning Systems written by Jo-Anne S.Y. Ting and published by . This book was released on 2009 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Toward Learning Robots by : Walter Van de Velde
Download or read book Toward Learning Robots written by Walter Van de Velde and published by MIT Press. This book was released on 1993 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: The contributions in Toward Learning Robots address the question of how a robot can be designed to acquire autonomously whatever it needs to realize adequate behavior in a complex environment. In-depth discussions of issues, techniques, and experiments in machine learning focus on improving ease of programming and enhancing robustness in unpredictable and changing environments, given limitations of time and resources available to researchers. The authors show practical progress toward a useful set of abstractions and techniques to describe and automate various aspects of learning in autonomous systems. The close interaction of such a system with the world reveals opportunities for new architectures and learning scenarios and for grounding symbolic representations, though such thorny problems as noise, choice of language, abstraction level of representation, and operationality have to be faced head-on. Contents Introduction: Toward Learning Robots * Learning Reliable Manipulation Strategies without Initial Physical Models * Learning by an Autonomous Agent in the Pushing Domain * A Cost-Sensitive Machine Learning Method for the Approach and Recognize Task * A Robot Exploration and Mapping Strategy Based on a Semantic Hierarchy of Spatial Representations * Understanding Object Motion: Recognition, Learning and Spatiotemporal Reasoning * Learning How to Plan * Robo-Soar: An Integration of External Interaction, Planning, and Learning Using Soar * Foundations of Learning in Autonomous Agents * Prior Knowledge and Autonomous Learning
Book Synopsis Autonomous Learner Model Resource Book by : George Betts
Download or read book Autonomous Learner Model Resource Book written by George Betts and published by Routledge. This book was released on 2021-09-03 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: Autonomous Learner Model Resource Book includes activities and strategies to support the development of autonomous learners. More than 40 activities are included, all geared to the emotional, social, cognitive, and physical development of students. Teachers may use these activities and strategies with the entire class, small groups, or with individuals who are ready to be independent, self-directed, lifelong learners. These learners have the passions, abilities, skills, and attitudes to go beyond the regular curriculum and take control of their own educational pathways. Field-tested strategies and activities in the book include Find Someone Who, Teacher and Learner Questionnaires, Lifelong Notebook, Time Capsule, and Night of the Notables.
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.
Book Synopsis Building Autonomous Learners by : Woon Chia Liu
Download or read book Building Autonomous Learners written by Woon Chia Liu and published by Springer. This book was released on 2015-09-29 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited work presents a collection of papers on motivation research in education around the globe. Pursuing a uniquely international approach, it also features selected research studies conducted in Singapore under the auspices of the Motivation in Educational Research Lab, National Institute of Education, Singapore. A total of 15 chapters include some of the latest findings on theory and practical applications alike, prepared by internationally respected researchers in the field of motivation research in education. Each author provides his/her perspective and practical strategies on how to maximize motivation in the classroom. Individual chapters focus on theoretical and practical considerations, parental involvement, teachers’ motivation, ways to create a self-motivating classroom, use of ICT, and nurturing a passion for learning. The book will appeal to several different audiences: firstly, policymakers in education, school leaders and teachers will find it a valuable resource. Secondly, it offers a helpful guide for researchers and teacher educators in pre-service and postgraduate teacher education programmes. And thirdly, parents who want to help their children pursue lifelong learning will benefit from reading this book.
Book Synopsis Teaching and Researching: Autonomy in Language Learning by : Phil Benson
Download or read book Teaching and Researching: Autonomy in Language Learning written by Phil Benson and published by Routledge. This book was released on 2013-11-04 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: Autonomy has become a keyword of language policy in education systems around the world, as the importance of independent learning and new technologies has grown. Now in a fully revised and updated second edition, Teaching and Researching Autonomy provides an accessible and comprehensive critical account of the theory and practice of autonomy. Examining the history of the concept, it addresses important questions of how we can identify autonomy in language learning behaviours and how we can evaluate the wide variety of educational practices that have been designed to foster autonomy in learning. Topics new to this edition include: - Autonomy and new technologies - Teacher autonomy - The sociocultural implications of autonomy With over three hundred new references and five new case studies of research on autonomy providing practical advice on research methods and topics in the field, Teaching and Researching Autonomy will be an essential introduction for teachers and students to a subject at the cutting edge of language teaching and research.
Book Synopsis Designing Autonomous AI by : Kence Anderson
Download or read book Designing Autonomous AI written by Kence Anderson and published by "O'Reilly Media, Inc.". This book was released on 2022-06-14 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: Early rules-based artificial intelligence demonstrated intriguing decision-making capabilities but lacked perception and didn't learn. AI today, primed with machine learning perception and deep reinforcement learning capabilities, can perform superhuman decision-making for specific tasks. This book shows you how to combine the practicality of early AI with deep learning capabilities and industrial control technologies to make robust decisions in the real world. Using concrete examples, minimal theory, and a proven architectural framework, author Kence Anderson demonstrates how to teach autonomous AI explicit skills and strategies. You'll learn when and how to use and combine various AI architecture design patterns, as well as how to design advanced AI without needing to manipulate neural networks or machine learning algorithms. Students, process operators, data scientists, machine learning algorithm experts, and engineers who own and manage industrial processes can use the methodology in this book to design autonomous AI. This book examines: Differences between and limitations of automated, autonomous, and human decision-making Unique advantages of autonomous AI for real-time decision-making, with use cases How to design an autonomous AI from modular components and document your designs
Book Synopsis Taking Control by : Richard Pemberton
Download or read book Taking Control written by Richard Pemberton and published by Hong Kong University Press. This book was released on 1996-06-01 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: TAKING CONTROL: Autonomy in Language Learning focuses on an area of language learning and teaching that is currently receiving an increasing amount of attention. The book, featuring 18 chapters from key figures around the world in the field of autonomous and self-access language learning, provides insightful coverage of the theoretical issues involved, and represents a significant contribution to research in this area. At the same time, it provides a variety of examples of current practice, in classrooms and self-access centres, at secondary and tertiary levels, and in a number of different cultural contexts. This volume is a timely publication which will be of interest to all those concerned with learner autonomy and self-directed language learning.
Book Synopsis Artificial Intelligence in Management by : Andrzej Wodecki
Download or read book Artificial Intelligence in Management written by Andrzej Wodecki and published by Edward Elgar Publishing. This book was released on 2020-11-27 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Autonomous systems are on the frontiers of Artificial Intelligence (AI) research, and they are slowly finding their business applications. Driven mostly by Reinforcement Learning (RL) methods (one of the most difficult, but also the most promising modern AI algorithms), autonomous systems help create self-learning and self-optimising systems, ranging from simple game-playing agents to robots able to efficiently act in completely new environments. Based on in-depth study of more than 100 projects, Andrzej Wodecki explores RL as a key component of modern digital technologies, its real-life applications to activities in a value chain and the ways in which it impacts different industries.
Book Synopsis The Organization of an Autonomous Learning System by : Research Institute for Advanced Computer Science (U.S.)
Download or read book The Organization of an Autonomous Learning System written by Research Institute for Advanced Computer Science (U.S.) and published by . This book was released on 1988 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt:
