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Dynamic Decision Making Under Ambiguity
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Book Synopsis Advances in Decision Making Under Risk and Uncertainty by : Mohammed Abdellaoui
Download or read book Advances in Decision Making Under Risk and Uncertainty written by Mohammed Abdellaoui and published by Springer Science & Business Media. This book was released on 2008-08-29 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whether we like it or not we all feel that the world is uncertain. From choosing a new technology to selecting a job, we rarely know in advance what outcome will result from our decisions. Unfortunately, the standard theory of choice under uncertainty developed in the early forties and fifties turns out to be too rigid to take many tricky issues of choice under uncertainty into account. The good news is that we have now moved away from the early descriptively inadequate modeling of behavior. This book brings the reader into contact with the accomplished progress in individual decision making through the most recent contributions to uncertainty modeling and behavioral decision making. It also introduces the reader into the many subtle issues to be resolved for rational choice under uncertainty.
Book Synopsis The Wiley Blackwell Handbook of Judgment and Decision Making, 2 Volume Set by : Gideon Keren
Download or read book The Wiley Blackwell Handbook of Judgment and Decision Making, 2 Volume Set written by Gideon Keren and published by John Wiley & Sons. This book was released on 2016-02-16 with total page 1056 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive, up-to-date examination of the most important theory, concepts, methodological approaches, and applications in the burgeoning field of judgment and decision making (JDM) Emphasizes the growth of JDM applications with chapters devoted to medical decision making, decision making and the law, consumer behavior, and more Addresses controversial topics from multiple perspectives – such as choice from description versus choice from experience – and contrasts between empirical methodologies employed in behavioral economics and psychology Brings together a multi-disciplinary group of contributors from across the social sciences, including psychology, economics, marketing, finance, public policy, sociology, and philosophy 2 Volumes
Book Synopsis Rationality and Dynamic Choice by : Edward F. McClennen
Download or read book Rationality and Dynamic Choice written by Edward F. McClennen and published by Cambridge University Press. This book was released on 1990-05-25 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this major contribution to the theory of rational choice the author sets out the foundations of rational choice, and then sketches a dynamic choice framework in which principles of ordering and independence follow from a number of apparently plausible conditions. However there is potential conflict among these conditions, and when they are weakened to avoid it, the usual foundations of rational choice no longer prevail. The thrust of the argument is to suggest that the theory of rational choice is less determinate than many suppose.
Book Synopsis Identification for Prediction and Decision by : Charles F. Manski
Download or read book Identification for Prediction and Decision written by Charles F. Manski and published by Harvard University Press. This book was released on 2009-06-30 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a full-scale exposition of Charles Manski's new methodology for analyzing empirical questions in the social sciences. He recommends that researchers first ask what can be learned from data alone, and then ask what can be learned when data are combined with credible weak assumptions. Inferences predicated on weak assumptions, he argues, can achieve wide consensus, while ones that require strong assumptions almost inevitably are subject to sharp disagreements. Building on the foundation laid in the author's Identification Problems in the Social Sciences (Harvard, 1995), the book's fifteen chapters are organized in three parts. Part I studies prediction with missing or otherwise incomplete data. Part II concerns the analysis of treatment response, which aims to predict outcomes when alternative treatment rules are applied to a population. Part III studies prediction of choice behavior. Each chapter juxtaposes developments of methodology with empirical or numerical illustrations. The book employs a simple notation and mathematical apparatus, using only basic elements of probability theory.
Download or read book Robustness written by Lars Peter Hansen and published by Princeton University Press. This book was released on 2016-06-28 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: The standard theory of decision making under uncertainty advises the decision maker to form a statistical model linking outcomes to decisions and then to choose the optimal distribution of outcomes. This assumes that the decision maker trusts the model completely. But what should a decision maker do if the model cannot be trusted? Lars Hansen and Thomas Sargent, two leading macroeconomists, push the field forward as they set about answering this question. They adapt robust control techniques and apply them to economics. By using this theory to let decision makers acknowledge misspecification in economic modeling, the authors develop applications to a variety of problems in dynamic macroeconomics. Technical, rigorous, and self-contained, this book will be useful for macroeconomists who seek to improve the robustness of decision-making processes.
Book Synopsis Decision Making Under Uncertainty by : Mykel J. Kochenderfer
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 Synopsis Handbook of the Economics of Risk and Uncertainty by : Mark Machina
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
Book Synopsis Decision-Making under Ambiguity and Time Constraints by : Reimut Zohlnhöfer
Download or read book Decision-Making under Ambiguity and Time Constraints written by Reimut Zohlnhöfer and published by ECPR Press. This book was released on 2016-02-24 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: Policy issues have grown ever more complex and politically more contestable. So governments in advanced democracies often do not understand the problems they have to deal with and do not know how to solve them. Thus, rational problem-solving models are highly unconvincing. Conversely, the Multiple-Streams Framework starts out from these conditions, which has led to increasing interest in it. Nevertheless, there has not yet been a systematic attempt to assess the potential of such scholarship. This volume is the first attempt to fill that gap by bringing together a group of international scholars to assess the strengths and weaknesses of the Framework from different angles. Chapters explore systematically and empirically the Framework’s potential in different national contexts and in policy areas from climate change and foreign policy to healthcare and the welfare state.
Book Synopsis Prospect Theory by : Peter P. Wakker
Download or read book Prospect Theory written by Peter P. Wakker and published by Cambridge University Press. This book was released on 2010-07-22 with total page 519 pages. Available in PDF, EPUB and Kindle. Book excerpt: Prospect Theory: For Risk and Ambiguity, provides a comprehensive and accessible textbook treatment of the way decisions are made both when we have the statistical probabilities associated with uncertain future events (risk) and when we lack them (ambiguity). The book presents models, primarily prospect theory, that are both tractable and psychologically realistic. A method of presentation is chosen that makes the empirical meaning of each theoretical model completely transparent. Prospect theory has many applications in a wide variety of disciplines. The material in the book has been carefully organized to allow readers to select pathways through the book relevant to their own interests. With numerous exercises and worked examples, the book is ideally suited to the needs of students taking courses in decision theory in economics, mathematics, finance, psychology, management science, health, computer science, Bayesian statistics, and engineering.
Book Synopsis Decision Theory with a Human Face by : Richard Bradley
Download or read book Decision Theory with a Human Face written by Richard Bradley and published by Cambridge University Press. This book was released on 2017-10-26 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explores how decision-makers can manage uncertainty that varies in both kind and severity by extending and supplementing Bayesian decision theory.
Book Synopsis Decision Making under Deep Uncertainty by : Vincent A. W. J. Marchau
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 Synopsis Decision Making Under Uncertainty by : David E. Bell
Download or read book Decision Making Under Uncertainty written by David E. Bell and published by Thomson South-Western. This book was released on 1995 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: These authors draw on nearly 50 years of combined teaching and consulting experience to give readers a straightforward yet systematic approach for making estimates about the likelihood and consequences of future events -- and then using those assessments to arrive at sound decisions. The book's real-world cases, supplemented with expository text and spreadsheets, help readers master such techniques as decision trees and simulation, such concepts as probability, the value of information, and strategic gaming; and such applications as inventory stocking problems, bidding situations, and negotiating.
Book Synopsis Experiments in Economics by : John Denis Hey
Download or read book Experiments in Economics written by John Denis Hey and published by Wiley-Blackwell. This book was released on 1991 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: After a discussion of the methodological issues involved in experimental economics, the author provides accounts of particular experimental investigations covering individual and interactive behaviour and testing game and bargaining theory, decision-making under uncertainty, auctions and markets.
Book Synopsis Ambiguity and Choice in Public Policy by : Nikolaos Zahariadis
Download or read book Ambiguity and Choice in Public Policy written by Nikolaos Zahariadis and published by Georgetown University Press. This book was released on 2003-07-29 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Zahariadis offers a theory that explains policymaking when "ambiguity" is present—a state in which there are many ways, often irreconcilable, of thinking about an issue. Expanding and extending John Kingdon's influential "multiple streams" model that explains agenda setting, Zahariadis argues that manipulation, the bending of ideas, process, and beliefs to get what you want out of the policy process, is the key to understanding the dynamics of policymaking in conditions of ambiguity. He takes one of the major theories of public policy to the next step in three different ways: he extends it to a different form of government (parliamentary democracies, where Kingdon looked only at what he called the United States's presidential "organized anarchy" form of government); he examines the entire policy formation process, not just agenda setting; and he applies it to foreign as well as domestic policy. This book combines theory with cases to illuminate policymaking in a variety of modern democracies. The cases cover economic policymaking in Britain, France, and Germany, foreign policymaking in Greece, all compared to the U.S. (where the model was first developed), and an innovative computer simulation of the policy process.
Book Synopsis Dynamic Decisions: Energy Pivot, Adaptive Moves, Winning Bounce by : Ricardo G Barcelona
Download or read book Dynamic Decisions: Energy Pivot, Adaptive Moves, Winning Bounce written by Ricardo G Barcelona and published by World Scientific. This book was released on 2022-08-30 with total page 755 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dynamic Decisions highlights how some managers and policymakers sleepwalk into decision paralysis. Strategically, they partly recognise their world is changing radically as energy systems transition. In deciding what to invest in, they default to rewarding the predictable and proven, often misdiagnosing the ignored risks of innately ambiguous markets. To remedy this, the author frames ambiguity as a source of opportunity. As extant advantages obsolesce, new entrants could disrupt to gain dominance. Some managers could repurpose, reframe, and reconfigure their resources and processes to create tomorrow's profitable niches today. To profit from these emerging business landscapes, managers can PIVOT and BOUnCE to win by transitioning into a dynamic mindset. Endowed with a creative mind to innovate, humans could reshape their firms and their societies. Armed with these capabilities, albeit partial, managers could choose to adapt responsive strategic actions that are tangible, actionable, and achievable, with policy sustaining societal benefits by expanding people's access to opportunities.Dynamic Decisions is written for managers and policymakers that seek to benefit their firms and communities in how they conduct their business and themselves. Connecting theory to practice with actual business cases, this book is organised into four clusters that act as building blocks to structure the reader's decision-making process. Through experimentation, learning, and adaptation, the reader of Dynamic Decisions will redirect their strategic actions that are necessary to nurture tomorrow's profitable niches today.Related Link(s)
Book Synopsis Decision Making in Behavioral Strategy by : T. K. Das
Download or read book Decision Making in Behavioral Strategy written by T. K. Das and published by IAP. This book was released on 2016-11-01 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: Behavioral strategy continues to attract increasing research interest within the broader field of strategic management. Research in behavioral strategy has clear scope for development in tandem with such traditional streams of strategy research that involve economics, markets, resources, and technology. The key roles of psychology, organizational behavior, and behavioral decision making in the theory and practice of strategy have yet to be comprehensively grasped. Given that strategic thinking and strategic decision making are importantly concerned with human cognition, human decisions, and human behavior, it makes eminent sense to bring some balance in the strategy field by complementing the extant emphasis on the “objective’ economics-based view with substantive attention to the “subjective” individual-oriented perspective. This calls for more focused inquiries into the role and nature of the individual strategy actors, and their cognitions and behaviors, in the strategy research enterprise. For the purposes of this book series, behavioral strategy would be broadly construed as covering all aspects of the role of the strategy maker in the entire strategy field. The scholarship relating to behavioral strategy is widely believed to be dispersed in diverse literatures. These existing contributions that relate to behavioral strategy within the overall field of strategy has been known and perhaps valued by most scholars all along, but were not adequately appreciated or brought together as a coherent sub-field or as a distinct perspective of strategy. This book series on Research in Behavioral Strategy will cover the essential progress made thus far in this admittedly fragmented literature and elaborate upon fruitful streams of scholarship. More importantly, the book series will focus on providing a robust and comprehensive forum for the growing scholarship in behavioral strategy. In particular, the volumes in the series will cover new views of interdisciplinary theoretical frameworks and models (dealing with all behavioral aspects), significant practical problems of strategy formulation, implementation, and evaluation, and emerging areas of inquiry. The series will also include comprehensive empirical studies of selected segments of business, economic, industrial, government, and non-profit activities with potential for wider application of behavioral strategy. Through the ongoing release of focused topical titles, this book series will seek to disseminate theoretical insights and practical management information that will enable interested professionals to gain a rigorous and comprehensive understanding of the subject of behavioral strategy. Decision Making in Behavioral Strategy contains contributions by leading scholars in the field of behavioral strategy research. The 10 chapters in this volume cover a number of significant issues relating to the decision making processes, practices, and perspectives in the field of behavioral strategy, covering diverse topics such as failures in acquisitions, entrepreneurs under ambiguity, metacognition, neural correlates of emotion, knowledge flows, behavioral responses, business modeling, and alliance capability. The chapters include empirical as well as conceptual treatments of the selected topics, and collectively present a wide-ranging review of the noteworthy research perspectives on decision making in behavioral strategy.
Book Synopsis The Economics of Risk and Uncertainty by : Christian Gollier
Download or read book The Economics of Risk and Uncertainty written by Christian Gollier and published by Edward Elgar Publishing. This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The compilation of ground-breaking papers contained in this collection offers a complete description of the evolution of knowledge in the economics of risk and time, from its early twentieth-century explorations to its current diversity of approaches. The papers focus first on the basic decisions under uncertainty, and then on asset pricing. They cover both classical expected utility approach and its non-expected utility generalizations, with applications to dynamic portfolio choices, insurance, risk sharing, and risk prevention. Prefaced by an original introduction from the editor, this collection will be valuable for scholars in finance and macroeconomics, particularly those with an interest in the modeling foundations of consumer and investor decisions under uncertainty.
