Homepage / Searching for: uncertainty

Welcome to Read Book Online

Download uncertainty or read uncertainty online books in PDF, EPUB and Mobi Format. Click Download or Read Online button to get uncertainty book now. Note:! If the content not Found, you must refresh this page manually.

Uncertainty

DOWNLOAD
Author by : Jonathan Fields
Languange Used : en
Release Date : 2012-11-06
Publisher by : Penguin

ISBN : 9781591845669

Jonathan Fields knows the risks-and potential power-of uncertainty. He gave up a six-figure income as a lawyer to make $12 an hour as a personal trainer. Then, married with a 3-month old baby, he signed a lease to launch a yoga center in the heart of New York City. . . the day before 9/11. But he survived, and along the way he developed a fresh approach to transforming uncertainty, risk of loss, and exposure to judgment into catalysts for innovation, creation, and achievement. In business, art, and life, creating on a world-class level demands bold action and leaps of faith in the face of great uncertainty. But that uncertainty can lead to fear, anxiety, paralysis, and destruction. It can gut creativity and stifle innovation. It can keep you from taking the risks necessary to do great work and craft a deeply-rewarding life. And it can bring companies that rely on innovation grinding to a halt. That is, unless you know how to use it to your advantage. Fields draws on leading-edge technology, cognitive science, and ancient awareness-focusing techniques in a fresh, practical, nondogmatic way. His approach enables creativity and productivity on an entirely different level and can turn the once-tortuous journey into a more enjoyable quest....

The Cunning Of Uncertainty

DOWNLOAD
Author by : Helga Nowotny
Languange Used : en
Release Date : 2016-01-19
Publisher by : John Wiley & Sons

ISBN : 074568761X

Uncertainty is interwoven into human existence. It is a powerful incentive in the search for knowledge and an inherent component of scientific research. We have developed many ways of coping with uncertainty. We make promises, manage risks and make predictions to try to clear the mists and predict ahead. But the future is inherently uncertain - and the mist that shrouds our path an inherent part of our journey. The burning question is whether our societies can face up to uncertainty, learn to embrace it and whether we can open up to a constantly evolving future. In this new book, Helga Nowotny shows how research can thrive at the cusp of uncertainty. Science, she argues, can eventually transform uncertainty into certainty, but into certainty which remains always provisional. Uncertainty is never completely static. It is constantly evolving. It encompasses geological time scales and, at the level of human experience, split-second changes as cells divide. Life and death decisions are taken in the blink of the eye, while human interactions with the natural environment may reveal their impact over millennia. Uncertainty is cunning. It appears at unexpected moments, it shuns the straight line, takes the oblique route and sometimes the unexpected short-cut. As we acknowledge the cunning of uncertainty, its threats retreat. We accept that any scientific inquiry must produce results that are provisional and uncertain. This message is vital for politicians and policy-makers: do not be tempted by small, short-term, controllable gains to the exclusion of uncertain, high-gain opportunities. Wide-ranging in its use of examples and enriched by the author’s experience as President of the European Research Council, one of the world’s leading funding organisations for fundamental research. The Cunning of Uncertainty is a must-read for students and scholars of all disciplines, politicians, policy-makers and anyone concerned with the fundamental role of knowledge and science in our societies today....

Do Dice Play God

DOWNLOAD
Author by : Ian Stewart
Languange Used : en
Release Date : 2019-06-06
Publisher by : Profile Books

ISBN : 9781782834014

Uncertainty is everywhere. It lurks in every consideration of the future - the weather, the economy, the sex of an unborn child - even quantities we think that we know such as populations or the transit of the planets contain the possibility of error. It's no wonder that, throughout that history, we have attempted to produce rigidly defined areas of uncertainty - we prefer the surprise party to the surprise asteroid. We began our quest to make certain an uncertain world by reading omens in livers, tea leaves, and the stars. However, over the centuries, driven by curiosity, competition, and a desire be better gamblers, pioneering mathematicians and scientists began to reduce wild uncertainties to tame distributions of probability and statistical inferences. But, even as unknown unknowns became known unknowns, our pessimism made us believe that some problems were unsolvable and our intuition misled us. Worse, as we realized how omnipresent and varied uncertainty is, we encountered chaos, quantum mechanics, and the limitations of our predictive power. Bestselling author Professor Ian Stewart explores the history and mathematics of uncertainty. Touching on gambling, probability, statistics, financial and weather forecasts, censuses, medical studies, chaos, quantum physics, and climate, he makes one thing clear: a reasonable probability is the only certainty....

Possibility Theory

DOWNLOAD
Author by : Didier Dubois
Languange Used : en
Release Date : 2012-12-06
Publisher by : Springer Science & Business Media

ISBN : 9781468452877

In the evolution of scientific theories, concern with uncertainty is almost invariably a concomitant of maturation. This is certainly true of the evolution· of physics, economics, operations research, communication sciences, and a host of other fields. And it is true of what has been happening more recently in the area of artificial intelligence, most notably in the development of theories relating to the management of uncertainty in knowledge-based systems. In science, it is traditional to deal with uncertainty through the use of probability theory. In recent years, however, it has become increasingly clear that there are some important facets of uncertainty which do not lend themselves to analysis by classical probability-based methods. One such facet is that of lexical elasticity, which relates to the fuzziness of words in natural languages. As a case in point, even a simple relation X, Y, and Z, expressed as if X is small and Y is very large then between Z is not very small, does not lend itself to a simple interpretation within the framework of probability theory by reason of the lexical elasticity of the predicates small and large....

Certainty Uncertainty And The Attitudinal Space In Between

DOWNLOAD
Author by : Sibilla Cantarini
Languange Used : en
Release Date : 2014-11-15
Publisher by : John Benjamins Publishing Company

ISBN : 9789027269140

The selected papers of this volume cover five main topics, namely ‘Certainty: The conceptual differential’; ‘(Un)Certainty as attitudinality’; ‘Dialogical exchange and speech acts’; ‘Onomasiology’; and ‘Applications in exegesis and religious discourse’. By examining the general theme of the communication of certainty and uncertainty from different scientific fields, theoretical approaches and perspectives, this compendium of state-of-the-art research papers provides both an interdisciplinary comparison of the latest investigations, methods and findings, and new advances and theoretical insights with a common focus on human communication....

Mastering Uncertainty

DOWNLOAD
Author by : Matt Watkinson
Languange Used : en
Release Date : 2023-03-28
Publisher by : BenBella Books

ISBN : 9781637743638

What separates the world’s most successful founders, entrepreneurs, and business leaders from the rest? It’s not visionary ideas or superhuman intelligence. It’s something more fundamental: their relationship with uncertainty. Most people are blown off course by unexpected events. Top performers, by contrast, know how to navigate our unpredictable world. Not just that: they know how to thrive in it. You can acquire this essential skill, too. In Mastering Uncertainty, investor and serial entrepreneur Csaba Konkoly and award-winning business author Matt Watkinson reveal the shortcomings of conventional business thinking and the advantages of developing a “probabilistic” mindset that turns uncertainty from a source of fear into an incredible and exciting advantage. They offer superbly practical advice on everything from how to handle setbacks and expand your network, to how to spot business opportunities and shape them into successful, growing businesses. Above all, they show how to think and operate like a great entrepreneur....

Taming Uncertainty

DOWNLOAD
Author by : Ralph Hertwig
Languange Used : en
Release Date : 2019-08-13
Publisher by : MIT Press

ISBN : 9780262353144

An examination of the cognitive tools that the mind uses to grapple with uncertainty in the real world. How do humans navigate uncertainty, continuously making near-effortless decisions and predictions even under conditions of imperfect knowledge, high complexity, and extreme time pressure? Taming Uncertainty argues that the human mind has developed tools to grapple with uncertainty. Unlike much previous scholarship in psychology and economics, this approach is rooted in what is known about what real minds can do. Rather than reducing the human response to uncertainty to an act of juggling probabilities, the authors propose that the human cognitive system has specific tools for dealing with different forms of uncertainty. They identify three types of tools: simple heuristics, tools for information search, and tools for harnessing the wisdom of others. This set of strategies for making predictions, inferences, and decisions constitute the mind's adaptive toolbox. The authors show how these three dimensions of human decision making are integrated and they argue that the toolbox, its cognitive foundation, and the environment are in constant flux and subject to developmental change. They demonstrate that each cognitive tool can be analyzed through the concept of ecological rationality—that is, the fit between specific tools and specific environments. Chapters deal with such specific instances of decision making as food choice architecture, intertemporal choice, financial uncertainty, pedestrian navigation, and adolescent behavior....

Uncertainty Theory

DOWNLOAD
Author by : Baoding Liu
Languange Used : en
Release Date : 2014-11-03
Publisher by : Springer

ISBN : 9783662443545

When no samples are available to estimate a probability distribution, we have to invite some domain experts to evaluate the belief degree that each event will happen. Perhaps some people think that the belief degree should be modeled by subjective probability or fuzzy set theory. However, it is usually inappropriate because both of them may lead to counterintuitive results in this case. In order to rationally deal with belief degrees, uncertainty theory was founded in 2007 and subsequently studied by many researchers. Nowadays, uncertainty theory has become a branch of axiomatic mathematics for modeling belief degrees. This is an introductory textbook on uncertainty theory, uncertain programming, uncertain statistics, uncertain risk analysis, uncertain reliability analysis, uncertain set, uncertain logic, uncertain inference, uncertain process, uncertain calculus, and uncertain differential equation. This textbook also shows applications of uncertainty theory to scheduling, logistics, networks, data mining, control, and finance....

Seven Modes Of Uncertainty

DOWNLOAD
Author by : C. Namwali Serpell
Languange Used : en
Release Date : 2014-04-30
Publisher by : Harvard University Press

ISBN : 9780674419681

Literature is rife with uncertainty. Literature is good for us. These two ideas about reading literature are often taken for granted. But what is the relationship between literature’s capacity to unsettle, perplex, and bewilder us, and literature’s ethical value? To revive this question, C. Namwali Serpell proposes a return to William Empson’s groundbreaking work, Seven Types of Ambiguity (1930), which contends that literary uncertainty is crucial to ethics because it pushes us beyond the limits of our own experience. Taking as case studies experimental novels by Thomas Pynchon, Toni Morrison, Bret Easton Ellis, Ian McEwan, Elliot Perlman, Tom McCarthy, and Jonathan Safran Foer, Serpell suggests that literary uncertainty emerges from the reader’s shifting responses to structures of conflicting information. A number of these novels employ a structure of mutual exclusion, which presents opposed explanations for the same events. Some use a structure of multiplicity, which presents different perspectives regarding events or characters. The structure of repetition in other texts destabilizes the continuity of events and frustrates our ability to follow the story. To explain how these structures produce uncertainty, Serpell borrows from cognitive psychology the concept of affordance, which describes an object’s or environment’s potential uses. Moving through these narrative structures affords various ongoing modes of uncertainty, which in turn afford ethical experiences both positive and negative. At the crossroads of recent critical turns to literary form, reading practices, and ethics, Seven Modes of Uncertainty offers a new phenomenology of how we read uncertainty now....

Decision Making Under Uncertainty

DOWNLOAD
Author by : Mykel J. Kochenderfer
Languange Used : en
Release Date : 2015-07-24
Publisher by : MIT Press

ISBN : 9780262331715

An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech recognition to airborne collision avoidance. Many important problems involve decision making under uncertainty—that is, choosing actions based on often imperfect observations, with unknown outcomes. Designers of automated decision support systems must take into account the various sources of uncertainty while balancing the multiple objectives of the system. This book provides an introduction to the challenges of decision making under uncertainty from a computational perspective. It presents both the theory behind decision making models and algorithms and a collection of example applications that range from speech recognition to aircraft collision avoidance. Focusing on two methods for designing decision agents, planning and reinforcement learning, the book covers probabilistic models, introducing Bayesian networks as a graphical model that captures probabilistic relationships between variables; utility theory as a framework for understanding optimal decision making under uncertainty; Markov decision processes as a method for modeling sequential problems; model uncertainty; state uncertainty; and cooperative decision making involving multiple interacting agents. A series of applications shows how the theoretical concepts can be applied to systems for attribute-based person search, speech applications, collision avoidance, and unmanned aircraft persistent surveillance. Decision Making Under Uncertainty unifies research from different communities using consistent notation, and is accessible to students and researchers across engineering disciplines who have some prior exposure to probability theory and calculus. It can be used as a text for advanced undergraduate and graduate students in fields including computer science, aerospace and electrical engineering, and management science. It will also be a valuable professional reference for researchers in a variety of disciplines....