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.

The notion of risk, while receiving a great deal of scholarly attention, cannot fully explain the forms of uncertainty that we see around the world today. Distinguishing between danger, risk, and uncertainty, the essays in this book, by a group of leading junior scholars, consider problems of uncertainty in various domainsfinance and markets, security and humanitarianism, environment and health. While not ignoring previous scholarship on risk, this volume provides new analytical tools and case studies for understanding the many forms of uncertainty prevalent today. What kinds of truth claims about the future are common? What interventions are considered appropriate? What modes of subjectivity are produced within these policy frameworks? "Modes of Uncertainty" clears the path to answering these questions, among others, advancing our understanding of the forms of uncertainty that concern us all."

A timeless classic of economic theory that remains fascinating and pertinent today, this is Frank Knight's famous explanation of why perfect competition cannot eliminate profits, the important differences between "risk" and "uncertainty," and the vital role of the entrepreneur in profitmaking. Based on Knight's PhD dissertation, this 1921 work, balancing theory with fact to come to stunning insights, is a distinct pleasure to read. FRANK H. KNIGHT (1885-1972) is considered by some the greatest American scholar of economics of the 20th century. An economics professor at the University of Chicago from 1927 until 1955, he was one of the founders of the Chicago school of economics, which influenced Milton Friedman and George Stigler.

In Uncertainty by Design Limor Samimian-Darash presents cases of the use of scenario technology in the fields of security and emergency preparedness, energy, and health by analyzing scenario narratives and practices at the National Emergency Management Authority in Israel, the World Health Organization's Regional Office for Europe, and the World Energy Council. Humankind has long struggled with the uncertainty of the future, with how to foresee the future, imagine alternatives, or prepare for and guard against undesirable eventualities. Scenario—or scenario planning—emerged in recent decades to become a widespread means through which states, large corporations, and local organizations imagine and prepare for the future. The scenario technology cases examined in Uncertainty by Design provide a useful lens through which to view contemporary efforts to engage in an overall journey of discovering the future, along with the modality of governing involved in these endeavors to face future uncertainties. Collectively, they enable us to understand in depth how scenarios express a new governing modality.

Uncertainty and possibility are emerging as both theoretical concepts and fields of empirical investigation, as scholars and practitioners seek new creative, hopeful and speculative modes of understanding and intervening in a world of crisis.This book offers new perspectives on the central issues of uncertainty and possibility, and identifies new research methods which take advantage of disruptive and experimental techniques. Advancing a practical agenda for future making, it reveals how uncertainty can be engaged as a generative ‘technology’ for understanding, researching and intervening in the world. Drawing on key themes in creative methodologies, such as making, essaying, inhabiting and attuning, chapters explore contemporary sites of practice. The book looks at maker spaces and technology design, the imaginaries of architectural design, the temporalities of built cultural heritage, and interdisciplinary making and performing. Based on the authors' own academic work and their applied research with a range of different organizations, Uncertainty and Possibility outlines new opportunities for research and intervention. It is essential reading for students, scholars and practitioners in design anthropology and human-centred design.

Exciting new theories in neuroscience, psychology, and artificial intelligence are revealing minds like ours as predictive minds, forever trying to guess the incoming streams of sensory stimulation before they arrive. In this up-to-the-minute treatment, philosopher and cognitive scientist Andy Clark explores new ways of thinking about perception, action, and the embodied mind.

How uncertainty in games -- from Super Mario Bros. to Rock/Paper/Scissors -- engages players and shapes play experiences.

This book offers a thorough and systematic introduction to the modified failure mode and effect analysis (FMEA) models based on uncertainty theories (e.g. fuzzy logic, intuitionistic fuzzy sets, D numbers and 2-tuple linguistic variables) and various multi-criteria decision making (MCDM) approaches such as distance-based MCDM, compromise ranking MCDM and hybrid MCDM, etc. As such, it provides essential FMEA methods and practical examples that can be considered in applying FMEA to enhance the reliability and safety of products and services. The book offers a valuable guide for practitioners and researchers working in the fields of quality management, decision making, information science, management science, engineering, etc. It can also be used as a textbook for postgraduate and senior undergraduate students.

"In Masters of Uncertainty, Phaedra Daipha offers a new framework for understanding decision-making practice after spending years immersed in a northeastern office of the National Weather Service. Arguing that forecasters have made a virtue of the unpredictability of the weather, Daipha shows how they enlist an onmivorous appetite for information and improvisational collage techniques to create a locally meaningful forecast on their computer screens. This richly detailed and lucidly written book advances a theory of decision making that foregrounds the pragmatic and situated nature of expert cognition and casts new light on how we make decisions in the digital age"--Page {4] of cover.

Literally an entire course between two covers, Measurement Uncertainty: Methods and Applications, Fourth Edition, presents engineering students with a comprehensive tutorial of measurement uncertainty methods in a logically categorized and readily utilized format. The new uncertainty technologies embodied in both U.S. and international standards have been incorporated into this text with a view toward understanding the strengths and weaknesses of both. The book is designed to also serve as a practical desk reference in situations that commonly confront an experimenter. The text presents the basics of the measurement uncertainty model, non-symmetrical systematic standard uncertainties, random standard uncertainties, the use of correlation, curve-fitting problems, and probability plotting, combining results from different test methods, calibration errors, and uncertainty propagation for both independent and dependent error sources. The author draws on years of experience in industry to direct special attention to the problem of developing confidence in uncertainty analysis results and using measurement uncertainty to select instrumentation systems.