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The OECD Programme for International Student Assessment (PISA) examines not just what students know in mathematics, reading and science, but what they can do with what they know. This is the first of six volumes that present the results of the 2012 PISA survey, the fifth round of the triennial assessment. It summarises the performance in mathematics, reading and science of students in PISA 2012.
Educational tests and measurements. --- Mathematical ability --- Testing. --- Mathematics --- Educational assessment --- Educational measurements --- Mental tests --- Tests and measurements in education --- Psychological tests for children --- Psychometrics --- Students --- Examinations --- Psychological tests --- Ability testing --- Rating of
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This book is devoted to the study of a class of optimal control problems arising in mathematical economics, related to the Robinson–Solow–Srinivasan (RSS) model. It will be useful for researches interested in the turnpike theory, infinite horizon optimal control and their applications, and mathematical economists. The RSS is a well-known model of economic dynamics that was introduced in the 1960s and as many other models of economic dynamics, the RSS model is determined by an objective function (a utility function) and a set-valued mapping (a technology map). The set-valued map generates a dynamical system whose trajectories are under consideration and the objective function determines an optimality criterion. The goal is to find optimal trajectories of the dynamical system, using the optimality criterion. Chapter 1 discusses turnpike properties for some classes of discrete time optimal control problems. Chapter 2 present the description of the RSS model and discuss its basic properties. Infinite horizon optimal control problems, related to the RSS model are studied in Chapter 3. Turnpike properties for the RSS model are analyzed in Chapter 4. Chapter 5 studies infinite horizon optimal control problems related to the RSS model with a nonconcave utility function. Chapter 6 focuses on infinite horizon optimal control problems with nonautonomous optimality criterions. Chapter 7 contains turnpike results for a class of discrete-time optimal control problems. Chapter 8 discusses the RSS model and compares different optimality criterions. Chapter 9 is devoted to the study of the turnpike properties for the RSS model. In Chapter 10 the one-dimensional autonomous RSS model is considered and the continuous time RSS model is studied in Chapter 11.
Mathematical optimization. --- Economic theory. --- Operations research. --- Management science. --- Optimization. --- Economic Theory/Quantitative Economics/Mathematical Methods. --- Operations Research, Management Science. --- Quantitative business analysis --- Management --- Problem solving --- Operations research --- Statistical decision --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Economic theory --- Political economy --- Social sciences --- Economic man --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Simulation methods --- System analysis --- Mathematical ability. --- Turnpike theory (Economics) --- Arithmetical ability --- Number ability --- Ability --- Economic development --- Economic policy --- Economics
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"The digital revolution is here. It's changing how work gets done, how industries are structured, and how people from all walks of life work, behave, and relate to each other. To thrive in a world driven by data and powered by algorithms, we must learn to see, think, and act in new ways. We need to develop a digital mindset. But what does that mean? Some fear it means that in the near future we will all need to become technologists who master the intricacies of coding, algorithms, AI, machine learning, robotics, and who-knows-what's-next. This book introduces three approaches-Collaboration, Computation, and Change-that you need for a digital mindset and the perspectives and actions within each approach that will enable you to develop the digital skills you need. With a digital mindset, you can ask the right questions, make smart decisions, and appreciate new possibilities for a digital future. Leaders who adopt these approaches will be able to develop their organization's talent to prepare their company for successful and continued digital transformation. Award-winning researchers and professors Paul Leonardi and Tsedal Neeley will show you how, and let you in on a surprising and welcome secret: developing a digital mindset isn't as hard as we think. Most people can become digitally savvy if they follow the "30% rule"-the minimum threshold that gives us just enough digital literacy to understand and take advantage of the digital threads woven into the fabric of our world"--
Technological innovations. --- Computer literacy. --- Artificial intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Digital literacy --- Literacy, Computer --- Technological literacy --- Breakthroughs, Technological --- Innovations, Industrial --- Innovations, Technological --- Technical innovations --- Technological breakthroughs --- Technological change --- Creative ability in technology --- Inventions --- Domestication of technology --- Innovation relay centers --- Research, Industrial --- Technology transfer --- Numeracy. --- Mathematical ability --- Mathematics --- Statistics --- Technological innovations --- Computer literacy --- Numeracy --- Success in business --- Artificial intelligence --- Success in business. --- Computer Literacy --- Artificial Intelligence --- #KVHA:Algemeen wetenschap en cultuur --- #KVHA:Artificiele intelligentie --- #KVHA:Technologie --- #KVHA:Digitale geletterdheid --- Computational Intelligence --- AI (Artificial Intelligence) --- Computer Reasoning --- Computer Vision Systems --- Knowledge Acquisition (Computer) --- Knowledge Representation (Computer) --- Machine Intelligence --- Acquisition, Knowledge (Computer) --- Computer Vision System --- Intelligence, Computational --- Intelligence, Machine --- Knowledge Representations (Computer) --- Reasoning, Computer --- Representation, Knowledge (Computer) --- System, Computer Vision --- Systems, Computer Vision --- Vision System, Computer --- Vision Systems, Computer --- Heuristics --- Computer Literacies --- Literacies, Computer --- Information Literacy --- Business --- Business failures --- Creative ability in business --- Prediction of occupational success --- digitalisering --- algoritmer --- AI --- kunstig intelligens --- Artificiële intelligentie --- IT-toepassingen --- Innovatie ; ondernemingen
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