Bounded Rationality in Decision Making Under Uncertainty: Towards Optimal Granularity

Bounded Rationality in Decision Making Under Uncertainty: Towards Optimal Granularity

Author: Joe Lorkowski

Publisher: Springer

Published: 2017-07-01

Total Pages: 167

ISBN-13: 3319622145

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This book addresses an intriguing question: are our decisions rational? It explains seemingly irrational human decision-making behavior by taking into account our limited ability to process information. It also shows with several examples that optimization under granularity restriction leads to observed human decision-making. Drawing on the Nobel-prize-winning studies by Kahneman and Tversky, researchers have found many examples of seemingly irrational decisions: e.g., we overestimate the probability of rare events. Our explanation is that since human abilities to process information are limited, we operate not with the exact values of relevant quantities, but with “granules” that contain these values. We show that optimization under such granularity indeed leads to observed human behavior. In particular, for the first time, we explain the mysterious empirical dependence of betting odds on actual probabilities. This book can be recommended to all students interested in human decision-making, to researchers whose work involves human decisions, and to practitioners who design and employ systems involving human decision-making —so that they can better utilize our ability to make decisions under uncertainty.


Decision Making Under Uncertainty and Constraints

Decision Making Under Uncertainty and Constraints

Author: Martine Ceberio

Publisher: Springer Nature

Published: 2023-01-03

Total Pages: 286

ISBN-13: 3031164156

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This book shows, on numerous examples, how to make decisions in realistic situations when we have both uncertainty and constraints. In most these situations, the book's emphasis is on the why-question, i.e., on a theoretical explanation for empirical formulas and techniques. Such explanations are important: they help understand why these techniques work well in some cases and not so well in others, and thus, help practitioners decide whether a technique is appropriate for a given situation. Example of applications described in the book ranges from science (biosciences, geosciences, and physics) to electrical and civil engineering, education, psychology and decision making, and religion—and, of course, include computer science, AI (in particular, eXplainable AI), and machine learning. The book can be recommended to researchers and students in these application areas. Many of the examples use general techniques that can be used in other application areas as well, so it is also useful for practitioners and researchers in other areas who are looking for possible theoretical explanations of empirical formulas and techniques.


Decision Making Under Uncertainty, with a Special Emphasis on Geosciences and Education

Decision Making Under Uncertainty, with a Special Emphasis on Geosciences and Education

Author: Laxman Bokati

Publisher: Springer Nature

Published: 2023-03-21

Total Pages: 203

ISBN-13: 3031260864

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This book describes new techniques for making decisions in situations with uncertainty and new applications of decision-making techniques. The main emphasis is on situations when it is difficult to decrease uncertainty. For example, it is very difficult to accurately predict human economic behavior, so in economics, it is very important to take this uncertainty into account when making decisions. Other areas where it is difficult to decrease uncertainty are geosciences and teaching. The book analyzes the general problem of decision making and shows how its results can be applied to economics, geosciences, and teaching. Since all these applications involve computing, the book also shows how these results can be applied to computing, including deep learning and quantum computing. The book is recommended to researchers, practitioners, and students who want to learn more about decision making under uncertainty—and who want to work on remaining challenges.


Credible Asset Allocation, Optimal Transport Methods, and Related Topics

Credible Asset Allocation, Optimal Transport Methods, and Related Topics

Author: Songsak Sriboonchitta

Publisher: Springer Nature

Published: 2022-07-29

Total Pages: 762

ISBN-13: 3030972739

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This book describes state-of-the-art economic ideas and how these ideas can be (and are) used to make economic decision (in particular, to optimally allocate assets) and to gauge the results of different economic decisions (in particular, by using optimal transport methods). Special emphasis is paid to machine learning techniques (including deep learning) and to different aspects of quantum econometrics—when quantum physics and quantum computing models are techniques are applied to study economic phenomena. Applications range from more traditional economic areas to more non-traditional topics such as economic aspects of tourism, cryptocurrencies, telecommunication infrastructure, and pandemic. This book helps student to learn new techniques, practitioners to become better knowledgeable of the state-of-the-art econometric techniques, and researchers to further develop these important research directions


Management

Management

Author: Christopher P. Neck

Publisher: SAGE Publications

Published: 2020-12-02

Total Pages: 849

ISBN-13: 1544351232

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Management, Third Edition introduces students to the planning, organizing, leading, and controlling functions of management with an emphasis on how managers can cultivate an entrepreneurial mindset. The text includes 34 cases profiling a wide range of companies including Lululemon, Nintendo, Netflix, Trader Joe’s, and the NBA. Authors Christopher P. Neck, Jeffrey D. Houghton, and Emma L. Murray use a variety of examples, applications, and insights from real-world managers to help students develop the knowledge, mindset, and skills they need to succeed in today’s fast-paced, dynamic workplace. This title is accompanied by a complete teaching and learning package.


Fuzzy Optimization, Decision-making and Operations Research

Fuzzy Optimization, Decision-making and Operations Research

Author: Chiranjibe Jana

Publisher: Springer Nature

Published: 2023-11-25

Total Pages: 753

ISBN-13: 3031356683

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After developing fuzzy set theory, many contributors focused their research on the extension of fuzzy sets and their computational methodologies, strengthening modern science and technology. In some real-life phenomena, the conventional methods and traditional fuzzy sets cannot be explained, whereas the extension of fuzzy sets and effective new computing methods can explain it adequately. This edited book presents a new view of fuzzy set-measurement methods entitled "Fuzzy Optimization, Decision Making and Operations Research: Theory and Applications", which deals with different perspectives and areas of research. All chapters are divided into three parts: fuzzy optimization, fuzzy decision-making, and fuzzy operation research. The goal of this book is to provide a relevant methodological framework covering the core fields of fuzzy decision-making method, fuzzy optimization method, fuzzy graphics method, fuzzy operations research, fuzzy optimization using graph theory, fuzzy support systems and its real and industrial applications. For many people, fuzzy words' industrial engineering and scientific meanings are still an advanced system for improving modern science and technology. Although fuzzy logic can be applied to many different areas, people do not know how different fuzzy approaches can be applied to various products currently on the market. It is written for professionals who wish to share their expertise, improve their findings, and provide relevant information in the fields of fuzzy methods and their application in decision-making, optimization theory, graph theory and operations research. This book is aimed at experts and practitioners in the fields of fuzzy optimization, fuzzy decision-making, and fuzzy operation research.


Philosophies of Structural Safety and Reliability

Philosophies of Structural Safety and Reliability

Author: Vladimir Raizer

Publisher: CRC Press

Published: 2022-07-28

Total Pages: 287

ISBN-13: 1000550729

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Uncertainty is certain to be found in structural engineering, making it crucial to structure design. This book covers three competing philosophies behind structural safety and reliability: probabilistic analysis, fuzzy set-based treatments, and the convex approach. Explaining the theory behind probabilistic analysis, fuzzy set-based treatments, and the convex approach in detail, alongside their implementation, use, and benefits, the book compares and contrasts these methods, enabling the reader to solve problems associated with uncertainty. These uncertainty issues can be seen in civil engineering structures, risk of earthquakes, impact of rough seas on ships, and turbulence affecting aerospace vehicles. Building on the authors’ many years of experience in the field, Philosophies of Structural Safety and Reliability is an essential guide to structural uncertainty. Topics covered in the book include properties of materials and their structural deterioration, safety factor and reliability, risk evaluation and loads, and their combinations. This book will be of interest to students and professionals in the fields of aerospace, civil, mechanical, marine, and ocean engineering.


Organizational Behavior

Organizational Behavior

Author: Christopher P. Neck

Publisher: SAGE Publications

Published: 2023-04-04

Total Pages: 531

ISBN-13: 1071854445

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Organizational Behavior: A Skill-Building Approach, Third Edition examines how individual characteristics, group dynamics, and organizational factors affect performance, motivation, and job satisfaction. Translating the latest research into practical applications and best practices, authors Christopher P. Neck, Jeffery D. Houghton, and Emma Murray unpack how managers can develop their managerial skills to unleash the potential of their employees.


Toward Humanoid Robots: The Role of Fuzzy Sets

Toward Humanoid Robots: The Role of Fuzzy Sets

Author: Cengiz Kahraman

Publisher: Springer Nature

Published: 2021-04-04

Total Pages: 310

ISBN-13: 3030671631

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This book offers a comprehensive reference guide for modeling humanoid robots using intelligent and fuzzy systems. It provides readers with the necessary intelligent and fuzzy tools for controlling humanoid robots by incomplete, vague, and imprecise information or insufficient data, where classical modeling approaches cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including fuzzy control, metaheuristic-based control, neutrosophic control, etc. To foster reader comprehension, all chapters include relevant numerical examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers, and postgraduate students pursuing research on humanoid robots. Moreover, by extending all the main aspects of humanoid robots to its intelligent and fuzzy counterparts, the book presents a dynamic snapshot of the field that is expected to stimulate new directions, ideas, and developments.