Based on a seventeen year study of the Australian energy industry, and via the lens of Niklas Luhmann’s systems theory, Meta-Regulation in Practice argues that normative meta-regulatory theory relies on unrealistic assumptions of stakeholder morality and rationality. Meta-regulation in practice appears to be most challenged in a complex and contested environment; the very environment it is supposed to serve best.
The primary mission assigned to the British Army from the 1950s until the end of the Cold War was deterring Soviet aggression in Europe by demonstrating the will and capability to fight with nuclear weapons to defend NATO territory. This is the first comprehensive account of how the British Army imagined nuclear war, and how it planned to fight it.
Entrepreneurship is an integral part of economic change and growth. Yet until recently it has been largely neglected by economists. In The Economics of Entrepreneurship, Simon C. Parker draws on theoretical insights and recent empirical findings to show how economics can contribute to our understanding of entrepreneurship. The book is based on an earlier work, The Economics of Self-employment and Entrepreneurship (Cambridge, 2004), that has quickly become an essential reference for academics researching the economics of entrepreneurship. Written in a more accessible style, this book contains much that made this earlier work so successful and, in addition, includes improved pedagogical features and new material on the theory of the firm, spin-offs, nascent entrepreneurship, growth-enhancing knowledge spillovers and social entrepreneurship. It can be used both as a reference text for academics from a variety of disciplines and as a textbook for graduate students.
Human beings have always sought ways to gain a competitive edge over their opponents, but sports science is a relatively young discipline. So what is it all about, and how can it help athletes perform better? Sports science is the application of scientific principles to explain sporting phenomena and provide a basis for improving the performance of teams and individuals. In this comprehensive yet easy-to-use introduction, you will learn everything you need to know about it in one place, including the key research and current knowledge, providing you with a well-informed starting point in your study of this fascinating subject. The focus of the book is on the three disciplines of biomechanics, physiology and psychology: - Biomechanics: using mechanical principles to understand human movement and how the human body interacts with equipment and apparatus - Physiology: using biological sciences to investigate how the body responds to exercise and training - Psychology: using psychological principles to provide answers to questions about human behaviour in sports settings This new edition has been updated to include case studies to show what you can do with a sports science degree and advice on how to prepare for careers where sports science knowledge is used. It includes chapters on the key systems in the body - skeletal, muscular, cardiovascular and nervous - as well as covering sports nutrition and planning research in sport. Whether you are a student, interested in sport and sport performance as a professional practice, or involved in sport at any level, Sports Science: A complete introduction is your go-to guide.
Correlative Learning: A Basis for Brain and Adaptive Systems provides a bridge between three disciplines: computational neuroscience, neural networks, and signal processing. First, the authors lay down the preliminary neuroscience background for engineers. The book also presents an overview of the role of correlation in the human brain as well as in the adaptive signal processing world; unifies many well-established synaptic adaptations (learning) rules within the correlation-based learning framework, focusing on a particular correlative learning paradigm, ALOPEX; and presents case studies that illustrate how to use different computational tools and ALOPEX to help readers understand certain brain functions or fit specific engineering applications.
State-of-the-art coverage of Kalman filter methods for the design of neural networks This self-contained book consists of seven chapters by expert contributors that discuss Kalman filtering as applied to the training and use of neural networks. Although the traditional approach to the subject is almost always linear, this book recognizes and deals with the fact that real problems are most often nonlinear. The first chapter offers an introductory treatment of Kalman filters with an emphasis on basic Kalman filter theory, Rauch-Tung-Striebel smoother, and the extended Kalman filter. Other chapters cover: An algorithm for the training of feedforward and recurrent multilayered perceptrons, based on the decoupled extended Kalman filter (DEKF) Applications of the DEKF learning algorithm to the study of image sequences and the dynamic reconstruction of chaotic processes The dual estimation problem Stochastic nonlinear dynamics: the expectation-maximization (EM) algorithm and the extended Kalman smoothing (EKS) algorithm The unscented Kalman filter Each chapter, with the exception of the introduction, includes illustrative applications of the learning algorithms described here, some of which involve the use of simulated and real-life data. Kalman Filtering and Neural Networks serves as an expert resource for researchers in neural networks and nonlinear dynamical systems.
The inherent 'metropolitanism' of writing for a Romantic-era periodical is here explored through the Elia articles that Charles Lamb wrote for the London Magazine.
The primary mission assigned to the British Army from the 1950s until the end of the Cold War was deterring Soviet aggression in Europe by demonstrating the will and capability to fight with nuclear weapons to defend NATO territory. This is the first comprehensive account of how the British Army imagined nuclear war, and how it planned to fight it.
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