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Author: Werner Greve
Publisher: Hogrefe & Huber Publishing
Published: 2005
Total Pages: 394
ISBN-13:
DOWNLOAD EBOOK →The mostly German psychologists contributing here contend that people secure personal continuity throughout their life span by a combination of active attempts at regulating their development on the one hand, and flexible adjustment of the self to unalterable changes both in their social and physical environment and in such personal attributes as p.
Author: Danny Weyns
Publisher: John Wiley & Sons
Published: 2020-10-05
Total Pages: 288
ISBN-13: 1119574943
DOWNLOAD EBOOK →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: Betty H. C. Cheng
Publisher: Springer Science & Business Media
Published: 2009-06-19
Total Pages: 271
ISBN-13: 3642021603
DOWNLOAD EBOOK →The carefully reviewed papers in this state-of-the-art survey describe a wide range of approaches coming from different strands of software engineering, and look forward to future challenges facing this ever-resurgent and exacting field of research.
Author: Timothy D. Wilson
Publisher: Harvard University Press
Published: 2004-05-15
Total Pages: 273
ISBN-13: 0674045211
DOWNLOAD EBOOK →"Know thyself," a precept as old as Socrates, is still good advice. But is introspection the best path to self-knowledge? Wilson makes the case for better ways of discovering our unconscious selves. If you want to know who you are or what you feel or what you're like, Wilson advises, pay attention to what you actually do and what other people think about you. Showing us an unconscious more powerful than Freud's, and even more pervasive in our daily life, Strangers to Ourselves marks a revolution in how we know ourselves.
Author: Simar Preet Singh
Publisher: CRC Press
Published: 2021-12-19
Total Pages: 328
ISBN-13: 1000509974
DOWNLOAD EBOOK →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.
Author: Pia Mellody
Publisher: Harper Collins
Published: 2011-11-22
Total Pages: 274
ISBN-13: 0062031805
DOWNLOAD EBOOK →Pia Mellody creates a framework for identifying codependent thinking, emotions and behaviour and provides an effective approach to recovery. Mellody sets forth five primary adult symptoms of this crippling condition, then traces their origin to emotional, spiritual, intellectual, physical and sexual abuses that occur in childhood. Central to Mellody's approach is the concept that the codependent adult's injured inner child needs healing. Recovery from codependence, therefore, involves clearing up the toxic emotions left over from these painful childhood experiences.
Author: William Cutrer
Publisher: Elsevier Health Sciences
Published: 2019-09-29
Total Pages: 242
ISBN-13: 032371112X
DOWNLOAD EBOOK →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.
Author: J. A. Scott Kelso
Publisher: MIT Press
Published: 1995
Total Pages: 368
ISBN-13: 9780262611312
DOWNLOAD EBOOK →foreword by Hermann Haken For the past twenty years Scott Kelso's research has focused on extending the physical concepts of self- organization and the mathematical tools of nonlinear dynamics to understand how human beings (and human brains) perceive, intend, learn, control, and coordinate complex behaviors. In this book Kelso proposes a new, general framework within which to connect brain, mind, and behavior.Kelso's prescription for mental life breaks dramatically with the classical computational approach that is still the operative framework for many newer psychological and neurophysiological studies. His core thesis is that the creation and evolution of patterned behavior at all levels--from neurons to mind--is governed by the generic processes of self-organization. Both human brain and behavior are shown to exhibit features of pattern-forming dynamical systems, including multistability, abrupt phase transitions, crises, and intermittency. Dynamic Patterns brings together different aspects of this approach to the study of human behavior, using simple experimental examples and illustrations to convey essential concepts, strategies, and methods, with a minimum of mathematics. Kelso begins with a general account of dynamic pattern formation. He then takes up behavior, focusing initially on identifying pattern-forming instabilities in human sensorimotor coordination. Moving back and forth between theory and experiment, he establishes the notion that the same pattern-forming mechanisms apply regardless of the component parts involved (parts of the body, parts of the nervous system, parts of society) and the medium through which the parts are coupled. Finally, employing the latest techniques to observe spatiotemporal patterns of brain activity, Kelso shows that the human brain is fundamentally a pattern forming dynamical system, poised on the brink of instability. Self-organization thus underlies the cooperative action of neurons that produces human behavior in all its forms.
