Predicting the Future

Predicting the Future

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  • Author: Henry Abarbanel
  • Publisher: Springer
  • ISBN: 1461472180
  • Category : Science
  • Languages : en
  • Pages : 253

Through the development of an exact path integral for use in transferring information from observations to a model of the observed system, the author provides a general framework for the discussion of model building and evaluation across disciplines. Through many illustrative examples drawn from models in neuroscience, geosciences, and nonlinear electrical circuits, the concepts are exemplified in detail. Practical numerical methods for approximate evaluations of the path integral are explored, and their use in designing experiments and determining a model’s consistency with observations is explored.


Predicting Future Oceans

Predicting Future Oceans

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  • Author: William Cheung
  • Publisher: Elsevier
  • ISBN: 0128179465
  • Category : Science
  • Languages : en
  • Pages : 584

Predicting Future Oceans: Sustainability of Ocean and Human Systems Amidst Global Environmental Change provides a synthesis of our knowledge of the future state of the oceans. The editors undertake the challenge of integrating diverse perspectives—from oceanography to anthropology—to exhibit the changes in ecological conditions and their socioeconomic implications. Each contributing author provides a novel perspective, with the book as a whole collating scholarly understandings of future oceans and coastal communities across the world. The diverse perspectives, syntheses and state-of-the-art natural and social sciences contributions are led by past and current research fellows and principal investigators of the Nereus Program network. This includes members at 17 leading research institutes, addressing themes such as oceanography, biodiversity, fisheries, mariculture production, economics, pollution, public health and marine policy. This book is a comprehensive resource for senior undergraduate and postgraduate readers studying social and natural science, as well as practitioners working in the field of natural resources management and marine conservation. - Provides a synthesis of our knowledge on the future state of the oceans - Includes recommendations on how to move forwards - Highlights key social aspects linked to ocean ecosystems, including health, equity and sovereignty


Predicting the Future

Predicting the Future

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  • Author: Nicholas Rescher
  • Publisher: SUNY Press
  • ISBN: 9780791435533
  • Category : Social Science
  • Languages : en
  • Pages : 334

The future obviously matters to us. It is, after all, where we'll be spending the rest of our lives. We need some degree of foresight if we are to make effective plans for managing our affairs. Much that we would like to know in advance cannot be predicted. But a vast amount of successful prediction is nonetheless possible, especially in the context of applied sciences such as medicine, meteorology, and engineering. This book examines our prospects for finding out about the future in advance. It addresses questions such as why prediction is possible in some areas and not others; what sorts of methods and resources make successful prediction possible; and what obstacles limit the predictive venture. Nicholas Rescher develops a general theory of prediction that encompasses its fundamental principles, methodology, and practice and gives an overview of its promises and problems. Predicting the Future considers the anthropological and historical background of the predictive enterprise. It also examines the conceptual, epistemic, and ontological principles that set the stage for predictive efforts. In short, Rescher explores the basic features of the predictive situation and considers their broader implications in science, in philosophy, and in the management of our daily affairs.


Predicting the Unpredictable

Predicting the Unpredictable

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  • Author: Susan Elizabeth Hough
  • Publisher: Princeton University Press
  • ISBN: 0691173303
  • Category : Science
  • Languages : en
  • Pages : 276

Why seismologists still can't predict earthquakes An earthquake can strike without warning and wreak horrific destruction and death, whether it's the catastrophic 2010 quake that took a devastating toll on the island nation of Haiti or a future great earthquake on the San Andreas Fault in California, which scientists know is inevitable. Yet despite rapid advances in earthquake science, seismologists still can’t predict when the Big One will hit. Predicting the Unpredictable explains why, exploring the fact and fiction behind the science—and pseudoscience—of earthquake prediction. Susan Hough traces the continuing quest by seismologists to forecast the time, location, and magnitude of future quakes. She brings readers into the laboratory and out into the field—describing attempts that have raised hopes only to collapse under scrutiny, as well as approaches that seem to hold future promise. She also ventures to the fringes of pseudoscience to consider ideas outside the scientific mainstream. An entertaining and accessible foray into the world of earthquake prediction, Predicting the Unpredictable illuminates the unique challenges of predicting earthquakes.


Predicting the Weather

Predicting the Weather

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  • Author: Katharine Anderson
  • Publisher: University of Chicago Press
  • ISBN: 0226019705
  • Category : Science
  • Languages : en
  • Pages : 342

Victorian Britain, with its maritime economy and strong links between government and scientific enterprises, founded an office to collect meteorological statistics in 1854 in an effort to foster a modern science of the weather. But as the office turned to prediction rather than data collection, the fragile science became a public spectacle, with its forecasts open to daily scrutiny in the newspapers. And meteorology came to assume a pivotal role in debates about the responsibility of scientists and the authority of science. Studying meteorology as a means to examine the historical identity of prediction, Katharine Anderson offers here an engrossing account of forecasting that analyzes scientific practice and ideas about evidence, the organization of science in public life, and the articulation of scientific values in Victorian culture. In Predicting the Weather, Anderson grapples with fundamental questions about the function, intelligibility, and boundaries of scientific work while exposing the public expectations that shaped the practice of science during this period. A cogent analysis of the remarkable history of weather forecasting in Victorian Britain, Predicting the Weather will be essential reading for scholars interested in the public dimensions of science.


Predicting Your Future

Predicting Your Future

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  • Author: Diagram Group
  • Publisher:
  • ISBN: 9780345335791
  • Category : Body, Mind & Spirit
  • Languages : en
  • Pages : 134

Discover what tomorrow holds in store for you. PREDICTING YOUR FUTURE has complete instructions for ancient and exotic fortune-telling methods, including: astrology, tarot cards, numerology, dice, palmistry, and more. This package also includes charts, diagrams, and drawings, plus actual predictions by fortune-telling experts.


Predicting Structured Data

Predicting Structured Data

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  • Author: Neural Information Processing Systems Foundation
  • Publisher: MIT Press
  • ISBN: 0262026171
  • Category : Algorithms
  • Languages : en
  • Pages : 361

State-of-the-art algorithms and theory in a novel domain of machine learning, prediction when the output has structure.


Predicting Presidential Elections and Other Things, Second Edition

Predicting Presidential Elections and Other Things, Second Edition

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  • Author: Ray Fair
  • Publisher: Stanford University Press
  • ISBN: 0804778027
  • Category : Business & Economics
  • Languages : en
  • Pages : 234

"It's the economy, stupid," as Democratic strategist James Carville would say. After many years of study, Ray C. Fair has found that the state of the economy has a dominant influence on national elections. Just in time for the 2012 presidential election, this new edition of his classic text, Predicting Presidential Elections and Other Things, provides us with a look into the likely future of our nation's political landscape—but Fair doesn't stop there. Fair puts other national issues under the microscope as well—including congressional elections, Federal Reserve behavior, and inflation. In addition he covers topics well beyond today's headlines, as the book takes on questions of more direct, personal interest such as wine quality, predicting football games, and aging effects in baseball. Which of your friends is most likely to have an extramarital affair? How important is class attendance for academic performance in college? How fast can you expect to run a race or perform some physical task at age 55, given your time at age 30? Read Predicting Presidential Elections and Other Things and find out! As Fair works his way through an incredibly broad range of questions and topics, he teaches and delights. The discussion that underlies each chapter topic moves from formulating theories about real world phenomena to lessons on how to analyze data, test theories, and make predictions. At the end of this book, readers will walk away with more than mere predictions. They will have learned a new approach to thinking about many age-old concerns in public and private life, and will have a myriad of fun facts to share.


Predicting Species Occurrences

Predicting Species Occurrences

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  • Author: J. Michael Scott
  • Publisher: Island Press
  • ISBN: 9781597263054
  • Category : Science
  • Languages : en
  • Pages : 940

Predictions about where different species are, where they are not, and how they move across a landscape or respond to human activities -- if timber is harvested, for instance, or stream flow altered -- are important aspects of the work of wildlife biologists, land managers, and the agencies and policymakers that govern natural resources. Despite the increased use and importance of model predictions, these predictions are seldom tested and have unknown levels of accuracy.Predicting Species Occurrences addresses those concerns, highlighting for managers and researchers the strengths and weaknesses of current approaches, as well as the magnitude of the research required to improve or test predictions of currently used models. The book is an outgrowth of an international symposium held in October 1999 that brought together scientists and researchers at the forefront of efforts to process information about species at different spatial and temporal scales. It is a comprehensive reference that offers an exhaustive treatment of the subject, with 65 chapters by leading experts from around the world that: review the history of the theory and practice of modeling and present a standard terminology examine temporal and spatial scales in terms of their influence on patterns and processes of species distribution offer detailed discussions of state-of-the-art modeling tools and descriptions of methods for assessing model accuracy discuss how to predict species presence and abundance present examples of how spatially explicit data on demographics can provide important information for managers An introductory chapter by Michael A. Huston examines the ecological context in which predictions of species occurrences are made, and a concluding chapter by John A. Wiens offers an insightful review and synthesis of the topics examined along with guidance for future directions and cautions regarding misuse of models. Other contributors include Michael P. Austin, Barry R. Noon, Alan H. Fielding, Michael Goodchild, Brian A. Maurer, John T. Rotenberry, Paul Angermeier, Pierre R. Vernier, and more than a hundred others.Predicting Species Occurrences offers important new information about many of the topics raised in the seminal volume Wildlife 2000 (University of Wisconsin Press, 1986) and will be the standard reference on this subject for years to come. Its state-of-the-art assessment will play a key role in guiding the continued development and application of tools for making accurate predictions and is an indispensable volume for anyone engaged in species management or conservation.


Predicting Personality

Predicting Personality

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  • Author: Drew D'Agostino
  • Publisher: John Wiley & Sons
  • ISBN: 1119630967
  • Category : Business & Economics
  • Languages : en
  • Pages : 254

The ultimate playbook for using artificial intelligence to communicate effectively, build teams, and win customers Not long ago, we imagined a hyper-connected world full of trust and openness—a world where effortless communication would bring about a new understanding between people everywhere. Judging from our current environment, this vision of the future may have been overly optimistic. With infinite channels and countless voices flooding them with messages, most people have become highly skeptical and guarded by necessity. As a result, communication is much harder than ever before. Despite the unprecedented connectivity enabled by modern technology, we are far less likely to trust and to invest the time needed to build strong relationships. How can we use technology to reverse this trend? A groundbreaking new branch of artificial intelligence—Personality AI—may be the answer. Combining traditional machine learning, data analytics, and behavioral psychology, Personality AI helps professional communicators tear down walls, establish trust with their audiences, and utilize data to build meaningful relationships, strengthen empathy, and win more customers. Predicting Personality is a practical, real-world playbook for any individual or business whose success hinges on the ability to communicate effectively and build teams. Authors Drew D’Agostino and Greg Skloot—CEO and President, respectively, of Crystal, the app that tells you anyone's personality—show you how businesses can leverage Personality AI and machine learning to grow faster and communicate more effectively than was previously possible. This reader-friendly guide teaches you what Personality AI is, how it works, and demonstrates its practical applications in both life and business. This book: ● Explains how to understand personality types in various contexts, including sales, recruiting, coaching ● Provides guidelines for using personality data to learn and execute ● Explores ethics and compliance considerations surrounding the use of Personality AI ● Offers valuable insights from a leader in the business applications of Personality AI Predicting Personality: Using AI to Understand People and Win More Business is a must-have guide for C-suite executives, sales and marketing professionals, coaches, recruiters, and business owners.