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Book Acting under Uncertainty

Download or read book Acting under Uncertainty written by George M. von Furstenberg and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: Uncertainty could be associated with wisdom, enterprise, and discovery. In ordinary speech, however, it has mostly negative connotations. There is "fear of the unknown" and "ignorance is bliss;" there are maxims to the effect that "what you don't know doesn't hurt you" (or: "bother you") in several languages. This volume suggests that we need be bothered by the excessive confidence with which scientists, particularly social scientists, present some of their conclusions and overstate their range of application. Otherwise many of the questions that should be raised about all the major uncertainties attending a particular issue routinely may continue to be thwarted or suppressed. Down playing uncertainty does not lead to more responsible or surer action, it sidetracks research agendas, and leaves the decision makers exposed to nasty surprise. This volume demonstrates that recognizing the many forms of uncertainty that enter into the development of any particular subject matter is a precondition for more responsible choice and deeper knowledge. Our purpose is to contribute to a broader appreciation of uncertainty than regularly accorded in any of the numerous disciplines represented here. The seventeenth-century French philosopher Descartes, quoted in this volume, wrote that "whoever is searching after truth must, once in his life, doubt all things; insofar as this is possible. " White areas left on maps of the world in past centuries were a much more productive challenge than marking the end of the known world with the pillars of Hercules.

Book Acting Under Uncertainty

    Book Details:
  • Author : George M. Von Furstenberg
  • Publisher :
  • Release : 2014-01-15
  • ISBN : 9789401578745
  • Pages : 504 pages

Download or read book Acting Under Uncertainty written by George M. Von Furstenberg and published by . This book was released on 2014-01-15 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Decision Making Under Uncertainty

Download or read book Decision Making Under Uncertainty written by Mykel J. Kochenderfer and published by MIT Press. This book was released on 2015-07-24 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book An Elementary Approach To Thinking Under Uncertainty

Download or read book An Elementary Approach To Thinking Under Uncertainty written by Ruth Beyth-Marom and published by Routledge. This book was released on 2013-05-13 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: Published in the year 1985, An Elementary Approach To Thinking Under Uncertainty is a valuable contribution to the field of Cognitive Psychology.

Book Understanding Uncertainty

Download or read book Understanding Uncertainty written by Dennis V. Lindley and published by John Wiley & Sons. This book was released on 2006-08-28 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: A lively and informal introduction to the role of uncertainty and probability in people's lives from an everyday perspective From television game shows and gambling techniques to weather forecasting and the financial markets, virtually every aspect of modern life involves situations in which the outcomes are uncertain and of varying qualities. But as noted statistician Dennis Lindley writes in this distinctive text, "We want you to face up to uncertainty, not hide it away under false concepts, but to understand it and, moreover, to use the recent discoveries so that you can act in the face of uncertainty more sensibly than would have been possible without the skill." Accessibly written at an elementary level, this outstanding text examines uncertainty in various everyday situations and introduces readers to three rules--craftily laid out in the book--that prove uncertainty can be handled with as much confidence as ordinary logic. Combining a concept of utility with probability, the book insightfully demonstrates how uncertainty can be measured and used in everyday life, especially in decision-making and science. With a focus on understanding and using probability calculations, Understanding Uncertainty demystifies probability and: * Explains in straightforward detail the logic of uncertainty, its truths, and its falsehoods * Explores what has been learned in the twentieth century about uncertainty * Provides a logical, sensible method for acting in the face of uncertainty * Presents vignettes of great discoveries made in the twentieth century * Shows readers how to discern if another person--whether a lawyer, politician, scientist, or journalist--is talking sense, posing the right questions, or obtaining sound answers Requiring only a basic understanding of mathematical concepts and operations, Understanding Uncertainty is useful as a text for all students who have probability or statistics as part of their course, even at the most introductory level.

Book An Introduction to Lifted Probabilistic Inference

Download or read book An Introduction to Lifted Probabilistic Inference written by Guy Van den Broeck and published by MIT Press. This book was released on 2021-08-17 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent advances in the area of lifted inference, which exploits the structure inherent in relational probabilistic models. Statistical relational AI (StaRAI) studies the integration of reasoning under uncertainty with reasoning about individuals and relations. The representations used are often called relational probabilistic models. Lifted inference is about how to exploit the structure inherent in relational probabilistic models, either in the way they are expressed or by extracting structure from observations. This book covers recent significant advances in the area of lifted inference, providing a unifying introduction to this very active field. After providing necessary background on probabilistic graphical models, relational probabilistic models, and learning inside these models, the book turns to lifted inference, first covering exact inference and then approximate inference. In addition, the book considers the theory of liftability and acting in relational domains, which allows the connection of learning and reasoning in relational domains.

Book Human Compatible

Download or read book Human Compatible written by Stuart Jonathan Russell and published by Penguin Books. This book was released on 2019 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: A leading artificial intelligence researcher lays out a new approach to AI that will enable people to coexist successfully with increasingly intelligent machines.

Book Perspectives on Uncertainty and Risk

Download or read book Perspectives on Uncertainty and Risk written by Marjolein B.A. van Asselt and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is intended to stimulate a change in the practice of decision support, advocating an interdisciplinary approach centred on both social and natural sciences, both theory and practice. It addresses the issue of analysis and management of uncertainty and risk in decision support corresponding to the aims of Integrated Assessment. A pluralistic method is necessary to account for legitimate plural interpretations of uncertainty and multiple risk perceptions. A wide range of methods and tools is presented to contribute to adequate and effective pluralistic uncertainty management and risk analysis in decision support endeavours. Special attention is given to the development of one such approach, the Pluralistic fRamework for Integrated uncertainty Management and risk Analysis (PRIMA), of which the practical value is explored in the context of the Environmental Outlooks produced by the Dutch Institute for Public Health and Environment (RIVM). Audience: This book will be of interest to researchers and practitioners whose work involves decision support, uncertainty management, risk analysis, environmental planning, and Integrated Assessment.

Book Uncertainty by Design

    Book Details:
  • Author : Limor Samimian-Darash
  • Publisher : Cornell University Press
  • Release : 2022-04-15
  • ISBN : 1501762486
  • Pages : 204 pages

Download or read book Uncertainty by Design written by Limor Samimian-Darash and published by Cornell University Press. This book was released on 2022-04-15 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Uncertainty in Strategic Decision Making

Download or read book Uncertainty in Strategic Decision Making written by Richard J. Arend and published by Springer Nature. This book was released on 2024-01-03 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knight (1921) defines uncertainty as an informational market failure that, while being detrimental to most existing businesses, presents possible profitable opportunities for others. This book builds upon that classic work by providing an analysis of the alternative approaches to strategic decision-making under such uncertainty. It covers what uncertainty is, why it is important, and what connections it has to business and related fields, culminating in a new and comprehensive typology and a valuable guide for how to appropriately address various types of uncertainties, even under AI. It clarifies the current terminological and categorical confusion about ‘unknowns’ while complementing the mathematical, probability-based approaches that treat uncertainty as ‘knowable’ (i.e., as risk). It corrects the mistaken approaches that treat ‘unknowables’ as ‘shapeable’ or ‘discoverable’. This book widens the perspective for viewing uncertainty, in terms of its impacts across humanity, by offering a shrewder understanding of what roles uncertainties play in human activity. It will appeal to academics across business, economics, philosophy, and other disciplines looking for approaches to apply, test, and hone for dealing with decision-making under uncertainty.

Book Navigating Uncertainty

Download or read book Navigating Uncertainty written by Ian Scoones and published by John Wiley & Sons. This book was released on 2024-07-24 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt: Uncertainties are everywhere. Whether it’s climate change, financial volatility, pandemic outbreaks or new technologies, we don’t know what the future will hold. For many contemporary challenges, navigating uncertainty – where we cannot predict what may happen – is essential and, as the book explores, this is much more than just managing risk. But how is this done, and what can we learn from different contexts about responding to and living with uncertainty? Indeed, what might it mean to live from uncertainty? Drawing on experiences from across the world, the chapters in this book explore finance and banking, technology regulation, critical infrastructures, pandemics, natural disasters and climate change. Each chapter contrasts an approach centred on risk and control, where we assume we know about and can manage the future, with one that is more flexible, responding to uncertainty. The book argues that we need to adjust our modernist, controlling view and to develop new approaches, including some reclaimed and adapted from previous times or different cultures. This requires a radical rethinking of policies, institutions and practices for successfully navigating uncertainties in an increasingly turbulent world.

Book Uncertainty in Artificial Intelligence

Download or read book Uncertainty in Artificial Intelligence written by Laveen N. Kanal and published by North Holland. This book was released on 1986 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hardbound. How to deal with uncertainty is a subject of much controversy in Artificial Intelligence. This volume brings together a wide range of perspectives on uncertainty, many of the contributors being the principal proponents in the controversy.Some of the notable issues which emerge from these papers revolve around an interval-based calculus of uncertainty, the Dempster-Shafer Theory, and probability as the best numeric model for uncertainty. There remain strong dissenting opinions not only about probability but even about the utility of any numeric method in this context.

Book Artificial Intelligence

    Book Details:
  • Author : David L. Poole
  • Publisher : Cambridge University Press
  • Release : 2010-04-19
  • ISBN : 0521519004
  • Pages : 681 pages

Download or read book Artificial Intelligence written by David L. Poole and published by Cambridge University Press. This book was released on 2010-04-19 with total page 681 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent decades have witnessed the emergence of artificial intelligence as a serious science and engineering discipline. This textbook, aimed at junior to senior undergraduate students and first-year graduate students, presents artificial intelligence (AI) using a coherent framework to study the design of intelligent computational agents. By showing how basic approaches fit into a multidimensional design space, readers can learn the fundamentals without losing sight of the bigger picture. The book balances theory and experiment, showing how to link them intimately together, and develops the science of AI together with its engineering applications. Although structured as a textbook, the book's straightforward, self-contained style will also appeal to a wide audience of professionals, researchers, and independent learners. AI is a rapidly developing field: this book encapsulates the latest results without being exhaustive and encyclopedic. The text is supported by an online learning environment, AIspace, http://aispace.org, so that students can experiment with the main AI algorithms plus problems, animations, lecture slides, and a knowledge representation system, AIlog, for experimentation and problem solving.

Book Uncertain Risks Regulated

    Book Details:
  • Author : Ellen Vos
  • Publisher : Routledge
  • Release : 2009-01-26
  • ISBN : 113539153X
  • Pages : 451 pages

Download or read book Uncertain Risks Regulated written by Ellen Vos and published by Routledge. This book was released on 2009-01-26 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: The scientification of politics and the politicisation of science / Michelle Everson and Ellen Vos -- Opening pandora's box : contextualising the precautionary principle in the European Union / Elisabeth Fisher -- Uncertainties in regulating food safety in France / Julien Besanon and Olivier Borraz -- The origins of regulatory uncertainty in the UK food safety regime / Henry Rothstein -- The Dutch regulatory framework for food risk analysis based food law in the Netherlands / Bernd van der Meulen -- Food safety in Poland : standards, procedures and institutions / Aleksander Surdej and Karolina Zurek -- A default-logic model of factfinding for United States regulation of food safety / Vern Walker -- The French regulatory system on GMOs / Christine Noiville -- The UK regulatory system on GMOs : expanding the debate? / Maria Lee -- GMO regulation in the Netherlands : a story of hope, fear and the limits of poldering / Han Somsen -- The Polish regulatory system on GMOs : between EU influence and national nuances / Patrycja Dabrowska -- The regulation of environmental risks of GMOs in the United States / Michael Rodemeyer -- The EU regulatory system on food safety : between trust and safety / Ellen Vos -- The EU regulatory system for GMOs / Greg Shaffer and Mark Pollack -- European regulation of GMOs : thinking about judicial review in the WTO / Joanne Scott -- The Codex Alimentarius Commission and its food safety measures in the light of their new status / Marille matthee -- Three intimate tales of law and science : hope, despair and transcendence / Michelle Everson -- Science, knowledge and uncertainty in eu risk regulation / Marjolein van Asselt, Ellen Vos and Bram Rooijackers -- The role of scientific experts in risk regulation of foods / Harry Kuiper -- Inclusive risk governance through discourse, deliberation and participation / Andreas Klinke -- Sound science in the European and global market : Karl Polanyi in geneva / Christian Joerges.

Book Decision Making under Deep Uncertainty

Download or read book Decision Making under Deep Uncertainty written by Vincent A. W. J. Marchau and published by Springer. This book was released on 2019-04-04 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools to include the analysis of actors and networks related to the problem at hand. It also shows how lessons learned in the application process can be used to improve the approaches and tools used in the design process. The book offers guidance in identifying and applying appropriate approaches and tools to design plans, as well as advice on implementing these plans in the real world. For decisionmakers and practitioners, the book includes realistic examples and practical guidelines that should help them understand what decisionmaking under deep uncertainty is and how it may be of assistance to them. Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing strategic plans under deep uncertainty: Robust Decision Making, Dynamic Adaptive Planning, Dynamic Adaptive Policy Pathways, Info-Gap Decision Theory, and Engineering Options Analysis. Each approach is worked out in terms of its theoretical foundations, methodological steps to follow when using the approach, latest methodological insights, and challenges for improvement. In Part II, applications of each of these approaches are presented. Based on recent case studies, the practical implications of applying each approach are discussed in depth. Part III focuses on using the approaches and tools in real-world contexts, based on insights from real-world cases. Part IV contains conclusions and a synthesis of the lessons that can be drawn for designing, applying, and implementing strategic plans under deep uncertainty, as well as recommendations for future work. The publication of this book has been funded by the Radboud University, the RAND Corporation, Delft University of Technology, and Deltares.

Book Decision Making in Engineering Design

Download or read book Decision Making in Engineering Design written by Evangelos Papageorgiou and published by Cambridge Scholars Publishing. This book was released on 2018-12-13 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an operational tool for decision making under uncertainty in any engineering design. It synthesizes classical decision making methods, such as multi-attribute utility theory, analytic hierarchy process with game theory and quantum decision theory. It demonstrates the implementation of the value driven design philosophy in the engineering design framework. Value, related to the designed system’s capabilities and lifecycle cost, is used to compare different alternatives through the appropriate value model. Game Theory as an optimization tool is used to successfully address the stakeholders’ preferences in a functional outcome-focused way. A Quantum-based Decision Making model is also developed to capture the complexity of human decision making related with risk attitude in the presence of ambiguity and uncertainty. Apart from rationality, the decision makers’ biases, emotions and subjective feelings are also captured in this model.

Book Handbook of the Economics of Risk and Uncertainty

Download or read book Handbook of the Economics of Risk and Uncertainty written by Mark Machina and published by Newnes. This book was released on 2013-11-14 with total page 897 pages. Available in PDF, EPUB and Kindle. Book excerpt: The need to understand the theories and applications of economic and finance risk has been clear to everyone since the financial crisis, and this collection of original essays proffers broad, high-level explanations of risk and uncertainty. The economics of risk and uncertainty is unlike most branches of economics in spanning from the individual decision-maker to the market (and indeed, social decisions), and ranging from purely theoretical analysis through individual experimentation, empirical analysis, and applied and policy decisions. It also has close and sometimes conflicting relationships with theoretical and applied statistics, and psychology. The aim of this volume is to provide an overview of diverse aspects of this field, ranging from classical and foundational work through current developments. Presents coherent summaries of risk and uncertainty that inform major areas in economics and finance Divides coverage between theoretical, empirical, and experimental findings Makes the economics of risk and uncertainty accessible to scholars in fields outside economics