The essays in this volume all originated at the 2001 conference of the International Society for the Study of Time. The theme 'Time and Uncertainty' sounds redundant, but the contributions try to come to terms with the irreducible openness of time and the impermanence of life.

This unique book lays out the motivational basis for tolerance, the most important underlying factor that shapes people’s social attitudes and determines our ability to get along with others. Closed- or open-mindedness distinguishes people open to information and new ideas, prepared to change their views, from people who are rigidly attached to their convictions and resistant to the unknown. Demonstrating how the mechanism underlying closed-mindedness is rooted in uncertainty and fear, with the fundamental consequence of closed-mindedness being intolerance, the author shows how basic features of human psychology drive large-scale socio-political developments that determine the fate of peoples and nations. Kossowska argues that recent political events across Europe, including the popularity and rise of extreme right-wing groups, are no longer adequately explained by traditional distinctions like people versus the elite, religion versus no religion, left versus right. Exploring how this can provide knowledge to increase the capability of people, groups, or societies to improve their lives in an era of uncertainty created by economic and political turmoil, the book also focuses on discussing ways to make people more open, thus tolerant. Written from a psychological perspective, this is an ideal resource for students and academics in psychology and social and political science, as well as anybody interested in understanding psychological mechanisms of intolerance.

Uncertainty theory is a branch of mathematics based on normality, monotonicity, self-duality, countable subadditivity, and product measure axioms. Uncertainty is any concept that satisfies the axioms of uncertainty theory. Thus uncertainty is neither randomness nor fuzziness. It is also known from some surveys that a lot of phenomena do behave like uncertainty. How do we model uncertainty? How do we use uncertainty theory? In order to answer these questions, this book provides a self-contained, comprehensive and up-to-date presentation of uncertainty theory, including uncertain programming, uncertain risk analysis, uncertain reliability analysis, uncertain process, uncertain calculus, uncertain differential equation, uncertain logic, uncertain entailment, and uncertain inference. Mathematicians, researchers, engineers, designers, and students in the field of mathematics, information science, operations research, system science, industrial engineering, computer science, artificial intelligence, finance, control, and management science will find this work a stimulating and useful reference.

"Adulthood is taken for granted. It connotes the end of childhood, the resolution to the "storm and stress" period of adolescence. This conception is strongly entrenched in the sociology of youth and the sociology of the life course as well as in the policy arena. At the same time, adulthood itself remains unarticulated; journey's end remains conceptually fixed and theoretically uncontested. Adulthood, then, is both central to the social imagination and neglected as an area of sociological investigation, something that has been noted by sociologists over the last four decades. Going beyond the overwhelmingly psychological literature, this book draws on original qualitative research and theories of social recognition and thus presents a first step towards filling an important gap in our understanding of the meaning of adulthood."--pub. desc.

This book constitutes the refereed proceedings of the Fourth Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2022, held in conjunction with MICCAI 2022. The conference was hybrid event held from Singapore. For this workshop, 13 papers from 22 submissions were accepted for publication. They focus on developing awareness and encouraging research in the field of uncertainty modelling to enable safe implementation of machine learning tools in the clinical world.

The compendium of papers in this volume focuses on aspects of economic uncertainty, financial instabilities and asset bubbles.Economic uncertainty is modeled in continuous time using the mathematical techniques of stochastic calculus. A detailed treatment of important topics is provided, including the existence and uniqueness of asymptotic economic growth, the modeling of inflation and interest rates, the decomposition of inflation and its volatility, and the extension of the quantity theory of money to allow for randomness.The reader is also introduced to the methods of chaotic dynamics, and this methodology is applied to asset pricing, the European equity markets, and the multi-fractality in foreign currency markets.Since the techniques of stochastic calculus and chaotic dynamics do not readily accommodate the presence of stochastic bubbles, several papers discuss in depth the presence of financial bubbles in asset prices, and econometric work is performed to link such bubbles to monetary policy.Finally, since bubbles often burst rather than deflate slowly, the last section of the book studies the crash of October 1987 as well as other crashes of national equity markets due to the Persian gulf crisis.

An introductory review of uncertainty formalisms by the volume editors begins the volume. The first main part of the book introduces some of the general problems dealt with in research. The second part is devoted to case studies; each presentation in this category has a well-delineated application problem and an analyzed solution based on an uncertainty formalism. The final part reports on developments of uncertainty formalisms and supporting technology, such as automated reasoning systems, that are vital to making these formalisms applicable. The book ends with a useful subject index. There is considerable synergy between the papers presented. The representative collection of case studies and associated techniques make the volume a particularly coherent and valuable resource. It will be indispensable reading for researchers and professionals interested in the application of uncertainty formalisms as well as for newcomers to the topic.

This book offers a multidisciplinary environmental approach to ethics in response to the contemporary challenge of climate change caused by globalized economics and consumption. This book synthesizes the incredible complexity of the problem and the necessity of action in response, highlighting the unambiguous problem facing humanity in the 21st century, but arguing that it is essential to develop an ethics housed in ambiguity in response. Environmental Ethics and Uncertainty is divided into theoretical and applied chapters, with the theoretical sections engaging in dialogue with scholars from a variety of disciplines, while the applied chapters offer insight from 20th century activists who demonstrate and/or illuminate the theory, including Martin Luther King, Rachel Carson, and Frank Lloyd Wright. This book is written for scholars and students in the interdisciplinary field of environmental studies and the environmental humanities, and will appeal to courses in religion, philosophy, ethics, politics, and social theory.