Prediction

Prediction
Author: Daniel R. Sarewitz
Publisher:
Total Pages: 434
Release: 2000-04
Genre: Education
ISBN:

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Based upon ten case studies, Prediction explores how science-based predictions guide policy making and what this means in terms of global warming, biogenetically modifying organisms and polluting the environment with chemicals.

Predicting the Future

Predicting the Future
Author: Nicholas Rescher
Publisher: SUNY Press
Total Pages: 334
Release: 1998-01-01
Genre: Social Science
ISBN: 9780791435533

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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.

Memory as Prediction

Memory as Prediction
Author: Tomaso Vecchi
Publisher: MIT Press
Total Pages: 211
Release: 2020-11-24
Genre: Psychology
ISBN: 0262044757

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Theoretical reflections on memory and prediction, linking these concepts to the role of the cerebellum in higher cognition. What is memory? What is memory for? Where is memory in the brain? Although memory is probably the most studied function in cognition, these fundamental questions remain challenging. We can try to answer the question of memory's purpose by defining the function of memory as remembering the past. And yet this definition is not consistent with the many errors that characterize our memory, or with the phylogenetic and ontogenetic origin of memory. In this book, Tomaso Vecchi and Daniele Gatti argue that the purpose of memory is not to remember the past but to predict the future. Vecchi and Gatti link memory and prediction to the role of the cerebellum in higher cognition, relying on recent empirical data to support theoretical reflections. They propose a new model of memory functions that comprises a system devoted to prediction, based in the cerebellum and mediated by the hippocampus, and a parallel system with a major role for cortical structures and mediated by the amygdala. Although memory is often conceived as a kind of storehouse, this storehouse is constantly changing, integrating new information in a continual process of modification. In order to explain these characteristics, Vecchi and Gatti argue, we must change our interpretation of the nature and functions of the memory system.

Science Fiction and the Prediction of the Future

Science Fiction and the Prediction of the Future
Author: Gary Westfahl
Publisher: McFarland
Total Pages: 271
Release: 2014-01-10
Genre: Literary Criticism
ISBN: 0786484764

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Science fiction has always challenged readers with depictions of the future. Can the genre actually provide glimpses of the world of tomorrow? This collection of fifteen international and interdisciplinary essays examines the genre's predictions and breaks new ground by considering the prophetic functions of science fiction films as well as SF literature. Among the texts and topics examined are classic stories by Murray Leinster, C. L. Moore, and Cordwainer Smith; 2001: A Space Odyssey and its sequels, Japanese anime and Hong Kong cinema; and electronic fiction.

Probably Not

Probably Not
Author: Lawrence N. Dworsky
Publisher: John Wiley & Sons
Total Pages: 352
Release: 2019-09-04
Genre: Mathematics
ISBN: 1119518105

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A revised edition that explores random numbers, probability, and statistical inference at an introductory mathematical level Written in an engaging and entertaining manner, the revised and updated second edition of Probably Not continues to offer an informative guide to probability and prediction. The expanded second edition contains problem and solution sets. In addition, the book’s illustrative examples reveal how we are living in a statistical world, what we can expect, what we really know based upon the information at hand and explains when we only think we know something. The author introduces the principles of probability and explains probability distribution functions. The book covers combined and conditional probabilities and contains a new section on Bayes Theorem and Bayesian Statistics, which features some simple examples including the Presecutor’s Paradox, and Bayesian vs. Frequentist thinking about statistics. New to this edition is a chapter on Benford’s Law that explores measuring the compliance and financial fraud detection using Benford’s Law. This book: Contains relevant mathematics and examples that demonstrate how to use the concepts presented Features a new chapter on Benford’s Law that explains why we find Benford’s law upheld in so many, but not all, natural situations Presents updated Life insurance tables Contains updates on the Gantt Chart example that further develops the discussion of random events Offers a companion site featuring solutions to the problem sets within the book Written for mathematics and statistics students and professionals, the updated edition of Probably Not: Future Prediction Using Probability and Statistical Inference, Second Edition combines the mathematics of probability with real-world examples. LAWRENCE N. DWORSKY, PhD, is a retired Vice President of the Technical Staff and Director of Motorola’s Components Research Laboratory in Schaumburg, Illinois, USA. He is the author of Introduction to Numerical Electrostatics Using MATLAB from Wiley.

Time Series Prediction

Time Series Prediction
Author: Andreas S. Weigend
Publisher: Routledge
Total Pages: 665
Release: 2018-05-04
Genre: Social Science
ISBN: 042997227X

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The book is a summary of a time series forecasting competition that was held a number of years ago. It aims to provide a snapshot of the range of new techniques that are used to study time series, both as a reference for experts and as a guide for novices.

The Knowable Future

The Knowable Future
Author: David Loye
Publisher: John Wiley & Sons
Total Pages: 232
Release: 1978
Genre: Business & Economics
ISBN:

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Superforecasting

Superforecasting
Author: Philip E. Tetlock
Publisher: Crown
Total Pages: 331
Release: 2015-09-29
Genre: Business & Economics
ISBN: 080413670X

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NEW YORK TIMES BESTSELLER • NAMED ONE OF THE BEST BOOKS OF THE YEAR BY THE ECONOMIST “The most important book on decision making since Daniel Kahneman's Thinking, Fast and Slow.”—Jason Zweig, The Wall Street Journal Everyone would benefit from seeing further into the future, whether buying stocks, crafting policy, launching a new product, or simply planning the week’s meals. Unfortunately, people tend to be terrible forecasters. As Wharton professor Philip Tetlock showed in a landmark 2005 study, even experts’ predictions are only slightly better than chance. However, an important and underreported conclusion of that study was that some experts do have real foresight, and Tetlock has spent the past decade trying to figure out why. What makes some people so good? And can this talent be taught? In Superforecasting, Tetlock and coauthor Dan Gardner offer a masterwork on prediction, drawing on decades of research and the results of a massive, government-funded forecasting tournament. The Good Judgment Project involves tens of thousands of ordinary people—including a Brooklyn filmmaker, a retired pipe installer, and a former ballroom dancer—who set out to forecast global events. Some of the volunteers have turned out to be astonishingly good. They’ve beaten other benchmarks, competitors, and prediction markets. They’ve even beaten the collective judgment of intelligence analysts with access to classified information. They are "superforecasters." In this groundbreaking and accessible book, Tetlock and Gardner show us how we can learn from this elite group. Weaving together stories of forecasting successes (the raid on Osama bin Laden’s compound) and failures (the Bay of Pigs) and interviews with a range of high-level decision makers, from David Petraeus to Robert Rubin, they show that good forecasting doesn’t require powerful computers or arcane methods. It involves gathering evidence from a variety of sources, thinking probabilistically, working in teams, keeping score, and being willing to admit error and change course. Superforecasting offers the first demonstrably effective way to improve our ability to predict the future—whether in business, finance, politics, international affairs, or daily life—and is destined to become a modern classic.

Economic Analysis of the Digital Economy

Economic Analysis of the Digital Economy
Author: Avi Goldfarb
Publisher: University of Chicago Press
Total Pages: 510
Release: 2015-05-08
Genre: Business & Economics
ISBN: 022620684X

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There is a small and growing literature that explores the impact of digitization in a variety of contexts, but its economic consequences, surprisingly, remain poorly understood. This volume aims to set the agenda for research in the economics of digitization, with each chapter identifying a promising area of research. "Economics of Digitization "identifies urgent topics with research already underway that warrant further exploration from economists. In addition to the growing importance of digitization itself, digital technologies have some features that suggest that many well-studied economic models may not apply and, indeed, so many aspects of the digital economy throw normal economics in a loop. "Economics of Digitization" will be one of the first to focus on the economic implications of digitization and to bring together leading scholars in the economics of digitization to explore emerging research.

The Future of Everything

The Future of Everything
Author: David Orell
Publisher: Basic Books
Total Pages: 460
Release: 2008-02-26
Genre: Science
ISBN: 0786732318

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Hurricane Katrina, the internet stock bubble, disease outbreaks -- are these predictable, preventable events, or are we merely the playthings of chaos? A compelling, irreverent, elegantly written history of our future that addresses the most important issues of our time, Apollo's Arrow examines such questions as: How well can we predict the future? Can past discoveries help us understand tomorrow's weather patterns, or tell us what our financial future will look like? Will scientists ever be able to forecast catastrophes, or will we always be at the mercy of Mother Nature, waiting for the next storm, epidemic, or economic crash to thunder through our lives? David Orrell looks back to show us how past scientists (and some charlatans) predicted the future, and where we are on the path to truly understanding what comes next. He asks how today's scientists can claim to predict future climate events when even three-day forecasts prove a serious challenge. Can we predict and control epidemics? Can we accurately foresee our financial future? Or will we only find out about tomorrow when tomorrow arrives?