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Uncertainty and Possibility

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Release : 2020-06-08
Genre : Social Science
Kind : eBook
Book Rating : 293/5 ( reviews)

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Book Synopsis Uncertainty and Possibility by : Yoko Akama

Download or read book Uncertainty and Possibility written by Yoko Akama. This book was released on 2020-06-08. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Possibility Theory

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Release : 2012-12-06
Genre : Mathematics
Kind : eBook
Book Rating : 878/5 ( reviews)

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Book Synopsis Possibility Theory by : Didier Dubois

Download or read book Possibility Theory written by Didier Dubois. This book was released on 2012-12-06. Available in PDF, EPUB and Kindle. Book excerpt: 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.

The Upside of Uncertainty

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Release : 2022-07-19
Genre : Business & Economics
Kind : eBook
Book Rating : 021/5 ( reviews)

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Book Synopsis The Upside of Uncertainty by : Nathan Furr

Download or read book The Upside of Uncertainty written by Nathan Furr. This book was released on 2022-07-19. Available in PDF, EPUB and Kindle. Book excerpt: A science-backed guide for navigating and thriving through uncertainty—based on interviews and insights from world-renowned leaders, innovators, entrepreneurs, artists, and creatives. Whether you're searching for courage to start a new project, change careers, launch a business, develop an idea, or reinvent yourself after a disappointment or life change, you will face uncertainty—that ambiguous and uncomfortable state that often makes us feel confused, anxious, and afraid to act. Though these moments are difficult, they offer opportunities for personal growth, innovation, and creativity. In The Upside of Uncertainty, INSEAD professor Nathan Furr and entrepreneur Susannah Harmon Furr provide a sweeping guide to embracing uncertainty and transforming it into a force for good. Drawing from hundreds of interviews, along with pioneering research in psychology, innovation, and behavioral economics, Nathan and Susannah provide dozens of tools—including mental models, techniques, and reflections—for seeing the upside of uncertainty, developing a vision for what to do next, and opening ourselves up to new possibilities. In our fast-paced, ever-changing world, uncertainty is on the rise. We face it every day. But few of us have been taught the techniques to navigate it well. The Upside of Uncertainty provides the inspiration, tools, and strategies you need to thrive through the inevitable plot twists in your life and career.

Reasoning about Uncertainty, second edition

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Release : 2017-04-07
Genre : Computers
Kind : eBook
Book Rating : 804/5 ( reviews)

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Book Synopsis Reasoning about Uncertainty, second edition by : Joseph Y. Halpern

Download or read book Reasoning about Uncertainty, second edition written by Joseph Y. Halpern. This book was released on 2017-04-07. Available in PDF, EPUB and Kindle. Book excerpt: Formal ways of representing uncertainty and various logics for reasoning about it; updated with new material on weighted probability measures, complexity-theoretic considerations, and other topics. In order to deal with uncertainty intelligently, we need to be able to represent it and reason about it. In this book, Joseph Halpern examines formal ways of representing uncertainty and considers various logics for reasoning about it. While the ideas presented are formalized in terms of definitions and theorems, the emphasis is on the philosophy of representing and reasoning about uncertainty. Halpern surveys possible formal systems for representing uncertainty, including probability measures, possibility measures, and plausibility measures; considers the updating of beliefs based on changing information and the relation to Bayes' theorem; and discusses qualitative, quantitative, and plausibilistic Bayesian networks. This second edition has been updated to reflect Halpern's recent research. New material includes a consideration of weighted probability measures and how they can be used in decision making; analyses of the Doomsday argument and the Sleeping Beauty problem; modeling games with imperfect recall using the runs-and-systems approach; a discussion of complexity-theoretic considerations; the application of first-order conditional logic to security. Reasoning about Uncertainty is accessible and relevant to researchers and students in many fields, including computer science, artificial intelligence, economics (particularly game theory), mathematics, philosophy, and statistics.

The Geometry of Uncertainty

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Release : 2020-12-17
Genre : Computers
Kind : eBook
Book Rating : 532/5 ( reviews)

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Book Synopsis The Geometry of Uncertainty by : Fabio Cuzzolin

Download or read book The Geometry of Uncertainty written by Fabio Cuzzolin. This book was released on 2020-12-17. Available in PDF, EPUB and Kindle. Book excerpt: The principal aim of this book is to introduce to the widest possible audience an original view of belief calculus and uncertainty theory. In this geometric approach to uncertainty, uncertainty measures can be seen as points of a suitably complex geometric space, and manipulated in that space, for example, combined or conditioned. In the chapters in Part I, Theories of Uncertainty, the author offers an extensive recapitulation of the state of the art in the mathematics of uncertainty. This part of the book contains the most comprehensive summary to date of the whole of belief theory, with Chap. 4 outlining for the first time, and in a logical order, all the steps of the reasoning chain associated with modelling uncertainty using belief functions, in an attempt to provide a self-contained manual for the working scientist. In addition, the book proposes in Chap. 5 what is possibly the most detailed compendium available of all theories of uncertainty. Part II, The Geometry of Uncertainty, is the core of this book, as it introduces the author’s own geometric approach to uncertainty theory, starting with the geometry of belief functions: Chap. 7 studies the geometry of the space of belief functions, or belief space, both in terms of a simplex and in terms of its recursive bundle structure; Chap. 8 extends the analysis to Dempster’s rule of combination, introducing the notion of a conditional subspace and outlining a simple geometric construction for Dempster’s sum; Chap. 9 delves into the combinatorial properties of plausibility and commonality functions, as equivalent representations of the evidence carried by a belief function; then Chap. 10 starts extending the applicability of the geometric approach to other uncertainty measures, focusing in particular on possibility measures (consonant belief functions) and the related notion of a consistent belief function. The chapters in Part III, Geometric Interplays, are concerned with the interplay of uncertainty measures of different kinds, and the geometry of their relationship, with a particular focus on the approximation problem. Part IV, Geometric Reasoning, examines the application of the geometric approach to the various elements of the reasoning chain illustrated in Chap. 4, in particular conditioning and decision making. Part V concludes the book by outlining a future, complete statistical theory of random sets, future extensions of the geometric approach, and identifying high-impact applications to climate change, machine learning and artificial intelligence. The book is suitable for researchers in artificial intelligence, statistics, and applied science engaged with theories of uncertainty. The book is supported with the most comprehensive bibliography on belief and uncertainty theory.

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