Science Fiction and the Prediction of the Future

Science Fiction and the Prediction of the Future PDF Author: Gary Westfahl
Publisher: McFarland
ISBN: 0786484764
Category : Literary Criticism
Languages : en
Pages : 271

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Book Description
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.

Science Fiction and the Prediction of the Future

Science Fiction and the Prediction of the Future PDF Author: Gary Westfahl
Publisher: McFarland
ISBN: 0786484764
Category : Literary Criticism
Languages : en
Pages : 271

Get Book Here

Book Description
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.

Prediction

Prediction PDF Author: Daniel R. Sarewitz
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 434

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Book Description
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 PDF Author: Henry Abarbanel
Publisher: Springer
ISBN: 1461472180
Category : Science
Languages : en
Pages : 253

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Book Description
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.

Time Series Prediction

Time Series Prediction PDF Author: Andreas S. Weigend
Publisher: Routledge
ISBN: 042997227X
Category : Social Science
Languages : en
Pages : 665

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Book Description
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.

Global Catastrophes and Trends

Global Catastrophes and Trends PDF Author: Vaclav Smil
Publisher: MIT Press
ISBN: 0262518228
Category : Science
Languages : en
Pages : 323

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Book Description
A wide-ranging, interdisciplinary look at global changes that may occur over the next fifty years—whether sudden and cataclysmic world-changing events or gradually unfolding trends. Fundamental change occurs most often in one of two ways: as a “fatal discontinuity,” a sudden catastrophic event that is potentially world changing, or as a persistent, gradual trend. Global catastrophes include volcanic eruptions, viral pandemics, wars, and large-scale terrorist attacks; trends are demographic, environmental, economic, and political shifts that unfold over time. In this provocative book, scientist Vaclav Smil takes a wide-ranging, interdisciplinary look at the catastrophes and trends the next fifty years may bring. Smil first looks at rare but cataclysmic events, both natural and human-produced, then at trends of global importance, including the transition from fossil fuels to other energy sources and growing economic and social inequality. He also considers environmental change—in some ways an amalgam of sudden discontinuities and gradual change—and assesses the often misunderstood complexities of global warming. Global Catastrophes and Trends does not come down on the side of either doom-and-gloom scenarios or techno-euphoria. Instead, Smil argues that understanding change will help us reverse negative trends and minimize the risk of catastrophe.

Memory as Prediction

Memory as Prediction PDF Author: Tomaso Vecchi
Publisher: MIT Press
ISBN: 0262044757
Category : Psychology
Languages : en
Pages : 211

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Book Description
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.

Probably Not

Probably Not PDF Author: Lawrence N. Dworsky
Publisher: John Wiley & Sons
ISBN: 1119518105
Category : Mathematics
Languages : en
Pages : 352

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Book Description
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.

The Fabulous Future?

The Fabulous Future? PDF Author: Morton Schapiro
Publisher: Northwestern University Press
ISBN: 0810131978
Category : History
Languages : en
Pages : 279

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Book Description
Will the future be one of economic expansion, greater tolerance, liberating inventions, and longer, happier lives? Or do we face economic stagnation, declining quality of life, and a technologically enhanced totalitarianism worse than any yet seen? The Fabulous Future? America and the World in 2040 draws its inspiration from a more optimistic time, and tome, The Fabulous Future: America in 1980, in which Fortune magazine celebrated its twenty-fifth anniversary by publishing the predictions of thought leaders of its time. In the present volume, the world’s leading specialists from diverse fields project developments in their areas of expertise, from religion and the media to the environment and nanotechnology. Will we be happier, and what exactly does happiness have to do with our economic future? Where is higher education heading and how should it develop? And what is the future of prediction itself? These exciting essays provoke sharper questions, reflect unexpectedly on one another, and testify to our present anxieties about the surprising world to come.

The Future of Everything

The Future of Everything PDF Author: David Orell
Publisher: Basic Books
ISBN: 0786732318
Category : Science
Languages : en
Pages : 460

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Book Description
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?

Predicting the Future

Predicting the Future PDF Author: Nicholas Rescher
Publisher: SUNY Press
ISBN: 9780791435533
Category : Social Science
Languages : en
Pages : 334

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Book Description
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.