An Introduction to Decision Theory

An Introduction to Decision Theory

Author: Martin Peterson

Publisher: Cambridge University Press

Published: 2017-03-30

Total Pages: 351

ISBN-13: 1107151597

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A comprehensive and accessible introduction to all aspects of decision theory, now with new and updated discussions and over 140 exercises.


Management Theory by Chester Barnard

Management Theory by Chester Barnard

Author: Kazuhito Isomura

Publisher: Springer Nature

Published: 2021-06-25

Total Pages: 119

ISBN-13: 981162979X

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This book explains Chester Barnard’s management theory clearly, faithfully, and systematically. When Barnard published The Functions of the Executive in 1938, it caused a paradigm shift in the research area of management. He aimed to clarify what executives should do, and how and why, as he argued that executive functions and processes are deeply related to specialization, incentive, authority and communication, decision making, and responsibility and leadership. Thus, The Functions of the Executive is essential reading for management students. This book serves as an introductory guide for undergraduate and graduate students to help them understand Barnard’s management theory. In addition, the book enables researchers to understand how Barnard developed his theory. He accumulated a great amount of experience in managing diverse organizations in both the private and public sectors. Then he gradually shifted his focus from scalar organizations, authority, and vertical communication to lateral organizations, responsibility, and horizontal communication. Finally, this book offers businesspeople helpful insights to create an innovative style of management. As a practitioner, Barnard recognized not only the importance of science but also that of art and value. Experienced businesspeople use not only formal knowledge but also their behavioral and personal knowledge, intuition, business sense, value, and executive art to understand the whole situation, balance conflicting factors, and produce creative solutions. Thus, this book also explores the management abilities that businesspeople need to develop.


Making Better Decisions

Making Better Decisions

Author: Itzhak Gilboa

Publisher: John Wiley & Sons

Published: 2010-10-19

Total Pages: 235

ISBN-13: 1444336517

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Making Better Decisions introduces readers to some of the principal aspects of decision theory, and examines how these might lead us to make better decisions. Introduces readers to key aspects of decision theory and examines how they might help us make better decisions Presentation of material encourages readers to imagine a situation and make a decision or a judgment Offers a broad coverage of the subject including major insights from several sub-disciplines: microeconomic theory, decision theory, game theory, social choice, statistics, psychology, and philosophy Explains these insights informally in a language that has minimal mathematical notation or jargon, even when describing and interpreting mathematical theorems Critically assesses the theory presented within the text, as well as some of its critiques Includes a web resource for teachers and students


Behavioral Decision Theory

Behavioral Decision Theory

Author: Kazuhisa Takemura

Publisher: Springer Nature

Published: 2021-09-29

Total Pages: 389

ISBN-13: 9811654530

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This book is the second edition of Behavioral Decision Theory, published in 2014. The main approach and structure of this book have been retained in the new edition. However, this second edition provides a fresh overview of the idea of behavioral decision theory and related research findings such as theoretical and empirical discoveries of preference formation, time discounting, social interaction, and social decision making. The book covers a wide range from classical to relatively recent major studies concerning behavioral decision theory, which, in brief, is a general term for descriptive theories to explain the psychological knowledge related to people’s decision-making behavior. It is called a theory but is actually a combination of various psychological theories, for which no axiomatic systems—such as those associated with the utility theory widely used in economics—have been established. The utility theory is often limited to qualitative knowledge; however, as the studies of Nobel laureates H. A. Simon, D. Kahneman, and R. Thaler have suggested, the psychological methodology and knowledge of behavioral decision theory have been applied widely in such fields as economics, business administration, and engineering and are expected to become even more useful in the future. Research into people’s decision making represents an important part in those fields, various aspects of which overlap with the scope of behavioral decision theory. This theory is closely related to behavioral economics and behavioral finance, which have come into greater use in recent years. This book will appeal especially to graduate students, advanced undergraduate students, and researchers who are interested in decision-making phenomena.


Decision Theory with a Human Face

Decision Theory with a Human Face

Author: Richard Bradley

Publisher: Cambridge University Press

Published: 2017-10-26

Total Pages: 351

ISBN-13: 1107003210

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


Multiobjective Decision Making

Multiobjective Decision Making

Author: Vira Chankong

Publisher: Courier Dover Publications

Published: 2008-02-04

Total Pages: 430

ISBN-13: 0486462897

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This first-rate text explores the theory and methodology of systems engineering in evaluating alternative courses of action and associated decision-making policies. It treats criteria as multidimensional, rather than scalar, in the development of normative theories. These contribute to a behavioral theory of decision making and provide guidance for exercising judgment. An introductory discussion of the systemic approach to judgment and decision is followed by explorations of psychological value measurements, utility, classical decision analysis, and vector optimization theory. The second section chiefly deals with methods of assessing and evaluating alternatives, including both noninteractive and interactive methods. A taxonomy and a comparative evaluation of methods conclude the text.


Decision Making Under Uncertainty

Decision Making Under Uncertainty

Author: Mykel J. Kochenderfer

Publisher: MIT Press

Published: 2015-07-24

Total Pages: 350

ISBN-13: 0262331713

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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.


Decision Theory

Decision Theory

Author: Giovanni Parmigiani

Publisher: John Wiley & Sons

Published: 2009-05-26

Total Pages: 416

ISBN-13:

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Decision theory provides a formal framework for making logical choices in the face of uncertainty. Given a set of alternatives, a set of consequences, and a correspondence between those sets, decision theory offers conceptually simple procedures for choice. This book presents an overview of the fundamental concepts and outcomes of rational decision making under uncertainty, highlighting the implications for statistical practice. The authors have developed a series of self contained chapters focusing on bridging the gaps between the different fields that have contributed to rational decision making and presenting ideas in a unified framework and notation while respecting and highlighting the different and sometimes conflicting perspectives. This book: * Provides a rich collection of techniques and procedures. * Discusses the foundational aspects and modern day practice. * Links foundations to practical applications in biostatistics, computer science, engineering and economics. * Presents different perspectives and controversies to encourage readers to form their own opinion of decision making and statistics. Decision Theory is fundamental to all scientific disciplines, including biostatistics, computer science, economics and engineering. Anyone interested in the whys and wherefores of statistical science will find much to enjoy in this book.


Theory of Decision Under Uncertainty

Theory of Decision Under Uncertainty

Author: Itzhak Gilboa

Publisher: Cambridge University Press

Published: 2009-03-16

Total Pages: 216

ISBN-13: 052151732X

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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.


Adolescent Decision Making

Adolescent Decision Making

Author: National Research Council and Institute of Medicine

Publisher: National Academies Press

Published: 1999-06-14

Total Pages: 31

ISBN-13: 0309064791

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Interest in the role that decision making plays in adolescents' involvement in high-risk behaviors led the Office of the Assistant Secretary of Planning and Evaluation of the U.S. Department of Health and Human Services to request the Board on Children, Youth, and Families to convene a workshop on adolescent decision making. The Board on Children, Youth, and Families is a joint activity of the National Research Council (NRC) and the Institute of Medicine. A workshop was held on January 6-7, 1998, to examine what is known about adolescents' decision-making skills and the implications of that knowledge for programs to further their healthy development.