Recent Advances In Decision Making Under Uncertainty

Author : Mohammed Abdellaoui,John D. Hey
Publisher : Springer Science & Business Media
Page : 245 pages
File Size : 52,7 Mb
Release : 2008-08-29
Category : Business & Economics
ISBN : 9783540684367

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Advances in Decision Making Under Risk and Uncertainty by Mohammed Abdellaoui,John D. Hey Pdf

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.

Author : Mykel J. Kochenderfer
Publisher : MIT Press
Page : 350 pages
File Size : 46,5 Mb
Release : 2015-07-24
Category : Computers
ISBN : 9780262331715

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Decision Making Under Uncertainty by Mykel J. Kochenderfer Pdf

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.

Author : Shou-Yang Wang
Publisher : Unknown
Page : 284 pages
File Size : 41,7 Mb
Release : 2005
Category : Decision making
ISBN : STANFORD:36105121809482

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Recent Advances in Decision Making Under Uncertainty by Shou-Yang Wang Pdf

Author : Elisabeth Rakus-Andersson,Ronald R. Yager,Nikhil Ichalkaranje
Publisher : Springer Science & Business Media
Page : 184 pages
File Size : 42,5 Mb
Release : 2009-08-04
Category : Business & Economics
ISBN : 9783642021862

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Recent Advances in Decision Making by Elisabeth Rakus-Andersson,Ronald R. Yager,Nikhil Ichalkaranje Pdf

Intelligent paradigms are increasingly finding their ways in the design and development of decision support systems. This book presents a sample of recent research results from key researchers. The contributions include: Introduction to intelligent systems in decision making - A new method of ranking intuitionistic fuzzy alternatives - Fuzzy rule base model identification by bacterial memetic algorithms - Discovering associations with uncertainty from large databases - Dempster-Shafer structures, monotonic set measures and decision making - Interpretable decision-making models - A general methodology for managerial decision making - Supporting decision making via verbalization of data analysis results using linguistic data summaries - Computational intelligence in medical decisions making. This book is directed to the researchers, graduate students, professors, decision makers and to those who are interested to investigate intelligent paradigms in decision making.

Author : Itzhak Gilboa
Publisher : Cambridge University Press
Page : 216 pages
File Size : 50,9 Mb
Release : 2009-03-16
Category : Business & Economics
ISBN : 9780521517324

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Theory of Decision Under Uncertainty by Itzhak Gilboa Pdf

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.

Author : Sugumaran, Vijayan
Publisher : IGI Global
Page : 309 pages
File Size : 41,9 Mb
Release : 2014-10-31
Category : Computers
ISBN : 9781466666405

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Recent Advances in Intelligent Technologies and Information Systems by Sugumaran, Vijayan Pdf

The amount of data used in the business world has been growing at a rapid and exponential rate. These large volumes of data have led not only to the rise of big data analytics, but to the need for improvements and advancements in the management of it. Recent Advances in Intelligent Technologies and Information Systems brings together current practices and innovations in the management and processing of diverse big data sets through technological integration. Focusing on concepts such as semantic technologies, open source tools, and soft computing, this book is an integral reference source for professionals, researchers, and practitioners interested in the application of technological advancements.

Author : David E. Bell,Arthur Schleifer
Publisher : Thomson South-Western
Page : 228 pages
File Size : 50,5 Mb
Release : 1995
Category : Business & Economics
ISBN : UOM:39015051990615

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Decision Making Under Uncertainty by David E. Bell,Arthur Schleifer Pdf

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.

Author : González-Prida, Vicente,Carnero, María Carmen
Publisher : IGI Global
Page : 423 pages
File Size : 42,8 Mb
Release : 2020-09-04
Category : Business & Economics
ISBN : 9781799832485

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Advanced Models and Tools for Effective Decision Making Under Uncertainty and Risk Contexts by González-Prida, Vicente,Carnero, María Carmen Pdf

Business industries depend on advanced models and tools that provide an optimal and objective decision-making process, ultimately guaranteeing improved competitiveness, reducing risk, and eliminating uncertainty. Thanks in part to the digital era of the modern world, reducing these conditions has become much more manageable. Advanced Models and Tools for Effective Decision Making Under Uncertainty and Risk Contexts provides research exploring the theoretical and practical aspects of effective decision making based not only on mathematical techniques, but also on those technological tools that are available nowadays in the Fourth Industrial Revolution. Featuring coverage on a broad range of topics such as industrial informatics, knowledge management, and production planning, this book is ideally designed for decision makers, researchers, engineers, academicians, and students.

Author : Rami Abielmona,Rafael Falcon,Nur Zincir-Heywood,Hussein A. Abbass
Publisher : Springer
Page : 752 pages
File Size : 45,5 Mb
Release : 2015-12-21
Category : Technology & Engineering
ISBN : 9783319264509

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Recent Advances in Computational Intelligence in Defense and Security by Rami Abielmona,Rafael Falcon,Nur Zincir-Heywood,Hussein A. Abbass Pdf

This volume is an initiative undertaken by the IEEE Computational Intelligence Society’s Task Force on Security, Surveillance and Defense to consolidate and disseminate the role of CI techniques in the design, development and deployment of security and defense solutions. Applications range from the detection of buried explosive hazards in a battlefield to the control of unmanned underwater vehicles, the delivery of superior video analytics for protecting critical infrastructures or the development of stronger intrusion detection systems and the design of military surveillance networks. Defense scientists, industry experts, academicians and practitioners alike will all benefit from the wide spectrum of successful applications compiled in this volume. Senior undergraduate or graduate students may also discover uncharted territory for their own research endeavors.

Author : Slim Bechikh,Rituparna Datta,Abhishek Gupta
Publisher : Springer
Page : 179 pages
File Size : 48,9 Mb
Release : 2016-08-09
Category : Technology & Engineering
ISBN : 9783319429786

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Recent Advances in Evolutionary Multi-objective Optimization by Slim Bechikh,Rituparna Datta,Abhishek Gupta Pdf

This book covers the most recent advances in the field of evolutionary multiobjective optimization. With the aim of drawing the attention of up-and coming scientists towards exciting prospects at the forefront of computational intelligence, the authors have made an effort to ensure that the ideas conveyed herein are accessible to the widest audience. The book begins with a summary of the basic concepts in multi-objective optimization. This is followed by brief discussions on various algorithms that have been proposed over the years for solving such problems, ranging from classical (mathematical) approaches to sophisticated evolutionary ones that are capable of seamlessly tackling practical challenges such as non-convexity, multi-modality, the presence of multiple constraints, etc. Thereafter, some of the key emerging aspects that are likely to shape future research directions in the field are presented. These include: optimization in dynamic environments, multi-objective bilevel programming, handling high dimensionality under many objectives, and evolutionary multitasking. In addition to theory and methodology, this book describes several real-world applications from various domains, which will expose the readers to the versatility of evolutionary multi-objective optimization.

Author : Sertan Girgin,Manuel Loth,Rémi Munos,Philippe Preux,Daniil Ryabko
Publisher : Springer
Page : 283 pages
File Size : 46,7 Mb
Release : 2008-11-27
Category : Computers
ISBN : 9783540897224

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Recent Advances in Reinforcement Learning by Sertan Girgin,Manuel Loth,Rémi Munos,Philippe Preux,Daniil Ryabko Pdf

Inthesummerof2008,reinforcementlearningresearchersfromaroundtheworld gathered in the north of France for a week of talks and discussions on reinfor- ment learning, on how it could be made more e?cient, applied to a broader range of applications, and utilized at more abstract and symbolic levels. As a participant in this 8th European Workshop on Reinforcement Learning, I was struck by both the quality and quantity of the presentations. There were four full days of short talks, over 50 in all, far more than there have been at any p- vious meeting on reinforcement learning in Europe, or indeed, anywhere else in the world. There was an air of excitement as substantial progress was reported in many areas including Computer Go, robotics, and ?tted methods. Overall, the work reported seemed to me to be an excellent, broad, and representative sample of cutting-edge reinforcement learning research. Some of the best of it is collected and published in this volume. The workshopandthe paperscollectedhere provideevidence thatthe ?eldof reinforcement learning remains vigorous and varied. It is appropriate to re?ect on some of the reasons for this. One is that the ?eld remains focused on a pr- lem — sequential decision making — without prejudice as to solution methods. Another is the existence of a common terminology and body of theory.

Author : Anonim
Publisher : BoD – Books on Demand
Page : 132 pages
File Size : 43,6 Mb
Release : 2023-10-25
Category : Computers
ISBN : 9781803562872

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Data and Decision Sciences - Recent Advances and Applications by Anonim Pdf

This book provides an overview of Data and Decision Sciences (DDS) and recent advances and applications in space-based systems and business, medical, and agriculture processes, decision optimization modeling, and cognitive decision-making. Written by experts, this volume is organized into four sections and seven chapters. It is a valuable resource for educators, engineers, scientists, and researchers in the field of DDS.

Author : R.W. Scholz
Publisher : Elsevier
Page : 442 pages
File Size : 41,7 Mb
Release : 1983-11-01
Category : Psychology
ISBN : 0080866700

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Decision Making under Uncertainty by R.W. Scholz Pdf

This volume contains the revised papers of an international symposium on research on fallacies, biases, and the development of decision behavior under uncertainty. The papers are organized in five main sections. The Introduction outlines the conceptual framework and how three of the sections - Cognitive Decision Research, Social Interaction, and Development and Epistemology - are interrelated and also how new fields, such as research into developmental questions, can be productively integrated. In the fifth section Comments are collected, which evaluate the impact of the contributions on decision research itself, and also on cognitive psychology, social psychology, economic theory, ant the discipline of mathematics education.

Author : Charles A. Holloway
Publisher : Prentice Hall
Page : 554 pages
File Size : 41,6 Mb
Release : 1979
Category : Business & Economics
ISBN : UOM:39015010897505

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Decision Making Under Uncertainty by Charles A. Holloway Pdf

Introduction and basic concepts; Models and probability; Choices and preferences; Preference assessment procedures; Behavioral assumptions and limitations of decision analysis; Risk sharing and incentives; Choices with multiple attributes.

Author : Luigi Luini
Publisher : Springer Science & Business Media
Page : 360 pages
File Size : 55,5 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9781461550839

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Uncertain Decisions by Luigi Luini Pdf

Uncertain Decisions: Bridging Theory and Experiments presents advanced directions of thinking on decision theory - in particular the more recent contributions on non-expected utility theory, fuzzy decision theory and case-based theory. This work also provides theoretical insights on measures of risk aversion and on new problems for general equilibrium analysis. It analyzes how the thinking that underlies the theories described above spills over into real decisions, and how the thinking that underlies these real decisions can explain the discrepancies between theoretical approaches and actual behavior. This work elaborates on how the most recent laboratory experiments have become an important source both for evaluating the leading theory of choice and decision, and for contributing to the formation of new models regarding the subject.