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Elements For A Theory Of Decision In Uncertainty


Elements For A Theory Of Decision In Uncertainty
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Elements For A Theory Of Decision In Uncertainty


Elements For A Theory Of Decision In Uncertainty
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Author : Jaime Gil Aluja
language : en
Publisher: Springer Science & Business Media
Release Date : 1999-11-30

Elements For A Theory Of Decision In Uncertainty written by Jaime Gil Aluja and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-11-30 with Business & Economics categories.


This book provides tools for making decisions in an environment of uncertainty. In Chapter 1 the author explains the most important aspects of the concept of relation. From this start arise the other three concepts that cover practically all processes from which decisions stem. These three concepts are: attribution from which the concept of assignment arises; and grouping, which includes the concept of an original function. The techniques presented, as well as the models and algorithms developed, constitute an invaluable aid for those who must make decisions. Audience: Researchers and graduate students interested in mathematics applied to economics and management.



Theory Of Decision Under Uncertainty


Theory Of Decision Under Uncertainty
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Author : Itzhak Gilboa
language : en
Publisher: Cambridge University Press
Release Date : 2009-03-16

Theory Of Decision Under Uncertainty written by Itzhak Gilboa and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-03-16 with Business & Economics categories.


This book describes the classical axiomatic theories of decision under uncertainty, as well as critiques thereof and alternative theories. It focuses on the meaning of probability, discussing some definitions and surveying their scope of applicability. The behavioral definition of subjective probability serves as a way to present the classical theories, culminating in Savage's theorem. The limitations of this result as a definition of probability lead to two directions - first, similar behavioral definitions of more general theories, such as non-additive probabilities and multiple priors, and second, cognitive derivations based on case-based techniques.



Elements For A Theory Of Decision In Uncertainty


Elements For A Theory Of Decision In Uncertainty
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Author : Jaime Gil-Aluja
language : en
Publisher:
Release Date : 1999-11-30

Elements For A Theory Of Decision In Uncertainty written by Jaime Gil-Aluja and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-11-30 with categories.




Decisions Under Uncertainty


Decisions Under Uncertainty
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Author : Ian Jordaan
language : en
Publisher: Cambridge University Press
Release Date : 2005-04-07

Decisions Under Uncertainty written by Ian Jordaan and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-04-07 with Business & Economics categories.


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The Analytics Of Uncertainty And Information


The Analytics Of Uncertainty And Information
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Author : Sushil Bikhchandani
language : en
Publisher: Cambridge University Press
Release Date : 2013-08-12

The Analytics Of Uncertainty And Information written by Sushil Bikhchandani and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-12 with Business & Economics categories.


There has been explosive progress in the economic theory of uncertainty and information in the past few decades. This subject is now taught not only in departments of economics but also in professional schools and programs oriented toward business, government and administration, and public policy. This book attempts to unify the subject matter in a simple, accessible manner. Part I of the book focuses on the economics of uncertainty; Part II examines the economics of information. This revised and updated second edition places a greater focus on game theory. New topics include posted-price markets, mechanism design, common-value auctions, and the one-shot deviation principle for repeated games.



Decision Making Under Deep Uncertainty


Decision Making Under Deep Uncertainty
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Author : Vincent A. W. J. Marchau
language : en
Publisher: Springer
Release Date : 2019-04-04

Decision Making Under Deep Uncertainty written by Vincent A. W. J. Marchau and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-04 with Business & Economics categories.


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.



A Theory Of International Trade Under Uncertainty


A Theory Of International Trade Under Uncertainty
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Author : Elhanan Helpman
language : en
Publisher: Academic Press
Release Date : 2014-05-10

A Theory Of International Trade Under Uncertainty written by Elhanan Helpman and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-10 with Political Science categories.


A Theory of International Trade Under Uncertainty analyzes international trade in goods and securities in the presence of uncertainty using an integrated general equilibrium framework that recognizes the dependence of markets for goods on financial markets and vice versa. The usefulness of this approach is demonstrated by means of applications to questions such as the effects of international trade on resource allocation, tariff policy, and intervention in financial capital markets. Results which are important for theoretical as well as policy oriented applications are presented. Comprised of 11 chapters, this volume begins with an introduction to some of the fundamental elements of the deterministic Ricardian and Heckscher-Ohlin theories of international trade. Relevant elements from the theory of decision making under uncertainty are then discussed, along with the behavior of firms and consumers-investors in an economy with stock markets. Subsequent chapters focus on problems of commercial policy; gains from trade in goods and securities; and issues of intervention in financial capital markets. The book concludes by describing a dynamic model of international trade that contains an infinite horizon and takes into account the trade-off between present period consumption and savings. An example that illustrates an equilibrium structure of the dynamic model is presented. This monograph is intended for economists who are interested in international trade or international finance, including graduate students who specialize in these fields.



Decision Theory With A Human Face


Decision Theory With A Human Face
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Author : Richard Bradley
language : en
Publisher: Cambridge University Press
Release Date : 2017-10-26

Decision Theory With A Human Face written by Richard Bradley and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-26 with Business & Economics categories.


Explores how decision-makers can manage uncertainty that varies in both kind and severity by extending and supplementing Bayesian decision theory.



Decision Making Under Uncertainty


Decision Making Under Uncertainty
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Author : Mykel J. Kochenderfer
language : en
Publisher: MIT Press
Release Date : 2015-07-24

Decision Making Under Uncertainty written by Mykel J. Kochenderfer and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-24 with Computers categories.


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.



Dynamics In Logistics


Dynamics In Logistics
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Author : Michael Freitag
language : en
Publisher: Springer Nature
Release Date : 2021-12-02

Dynamics In Logistics written by Michael Freitag and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-02 with Business & Economics categories.


This open access book highlights the interdisciplinary aspects of logistics research. Featuring empirical, methodological, and practice-oriented articles, it addresses the modelling, planning, optimization and control of processes. Chiefly focusing on supply chains, logistics networks, production systems, and systems and facilities for material flows, the respective contributions combine research on classical supply chain management, digitalized business processes, production engineering, electrical engineering, computer science and mathematical optimization. To celebrate 25 years of interdisciplinary and collaborative research conducted at the Bremen Research Cluster for Dynamics in Logistics (LogDynamics), in this book hand-picked experts currently or formerly affiliated with the Cluster provide retrospectives, present cutting-edge research, and outline future research directions.