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Books > Reference & Interdisciplinary > Communication studies > Decision theory > General
Every day decision making in complex human-centric systems are characterized by imperfect decision-relevant information. The principal problems with the existing decision theories are that they do not have capability to deal with situations in which probabilities and events are imprecise. In this book, we describe a new theory of decision making with imperfect information. The aim is to shift the foundation of decision analysis and economic behavior from the realm bivalent logic to the realm fuzzy logic and Z-restriction, from external modeling of behavioral decisions to the framework of combined states.This book will be helpful for professionals, academics, managers and graduate students in fuzzy logic, decision sciences, artificial intelligence, mathematical economics, and computational economics.
This is an introduction to a flexible tool for use in strategic management within a competitive environment. Based upon ideas from both graph theory and game theory, the method offers several distinct advantages. It can handle a finite number of decision-makers, each of whom controls a number of actions. The graph model can describe and distinguish reversible and irreversible moves. Most importantly, the graph model forms a solid framework upon which solution concepts for describing human behaviour can be defined, assessed and compared This book is accompanied by a computer disk, which is explained and illustrated in the appendix. In addition, the text provides a summary of how to apply the graph model to practical problems Each chapter concludes with a set of problems, which serve to clarify important points and ensure comprehension
In the last two decades there has been a flourishing research carried out jointly by economists, psychologists and neuroscientists. This meltdown of competences has lead towards original approaches to investigate the mental and cognitive mechanisms involved in the way the economic agent collects, processes and uses information to make choices. This research field involves a new kind of scientist, trained in different disciplines, familiar in managing experimental data, and with the mathematical foundations of decision making. The ultimate goal of this research is to open the black-box to understandthe behavioural and neural processes through which humans set preferences and translate these behaviours into optimal choices. This volume intends to bring forward new results and fresh insights into this matter.
Multi-objective programming (MOP) can simultaneously optimize multi-objectives in mathematical programming models, but the optimization of multi-objectives triggers the issue of Pareto solutions and complicates the derived answers. To address these problems, researchers often incorporate the concepts of fuzzy sets and evolutionary algorithms into MOP models. Focusing on the methodologies and applications of this field, Fuzzy Multiple Objective Decision Making presents mathematical tools for complex decision making. The first part of the book introduces the most popular methods used to calculate the solution of MOP in the field of multiple objective decision making (MODM). The authors describe multi-objective evolutionary algorithms; expand de novo programming to changeable spaces, such as decision and objective spaces; and cover network data envelopment analysis. The second part focuses on various applications, giving readers a practical, in-depth understanding of MODM. A follow-up to the authors' Multiple Attribute Decision Making: Methods and Applications, this book guides practitioners in using MODM methods to make effective decisions. It also extends students' knowledge of the methods and provides researchers with the foundation to publish papers in operations research and management science journals.
In the last two decades there has been a flourishing research carried out jointly by economists, psychologists and neuroscientists. This meltdown of competences has lead towards original approaches to investigate the mental and cognitive mechanisms involved in the way the economic agent collects, processes and uses information to make choices. This research field involves a new kind of scientist, trained in different disciplines, familiar in managing experimental data, and with the mathematical foundations of decision making. The ultimate goal of this research is to open the black-box to understandthe behavioural and neural processes through which humans set preferences and translate these behaviours into optimal choices. This volume intends to bring forward new results and fresh insights into this matter.
The Cambridge philosopher Frank Ramsey (1903-1930) died tragically young, but had already established himself as one of the most brilliant minds of the twentieth century. Besides groundbreaking work in philosophy, particularly in logic, language, and metaphysics, he created modern decision theory and made substantial contributions to mathematics and economics. In these original essays, written to commemorate the centenary of Ramsey's birth, a distinguished international team of contributors offer fresh perspectives on his work and show how relevant it is to present-day concerns. Each of the ten essays addresses fundamental and contentious issues, including success semantics, propositions, infinity, conditionals, conceptual analysis, decision theory, and intergenerational justice. They also shed light on the intellectual context in which Ramsey developed his thought, including his relationship with such leading thinkers as John Maynard Keynes, Bertrand Russell, and Ludwig Wittgenstein. The volume will be indispensable reading for anyone interested in the recent history of philosophy and economics, as well as for practitioners and students of logic, metaphysics, philosophy of mathematics, philosophy of science, philosophy of mind, decision theory, and welfare economics.
Containing contributions from well-respected international researchers into decision making, the book examines the nature of the psychological processes underlying decision making, and addresses a range of topics including the role of emotions, coping with uncertainty, time pressure, and confidence in decisions. "Decision Making" first places the process approach to decision research in a historical and theoretical context, providing a critical evaluation of its principal research methods. The contributors then consider various influences upon decision making, risk and uncertainty; a final section examines time pressure, the effects of past decisions, and post-decision processes. Decision making is regarded as an interaction between the decision maker, problem and context, and is thus placed in a social environment.
The media landscape has changed, and children and adolescents now face a tsunami of entertainment and information. How they sort through this may have significant effects on their education and their health. We've called on some of the world's media experts to discuss what the crucial issues are and what teachers, administrators, schools, parents, and health professionals can do about them - hence, the title - Masters of Media.
Decision makers are often faced with several conflicting alternatives. How do they evaluate trade-offs when there are more than three criteria? To help people make optimal decisions, scholars in the discipline of multiple criteria decision making (MCDM) continue to develop new methods for structuring preferences and determining the correct relative weights for criteria. A compilation of modern decision-making techniques, Multiple Attribute Decision Making: Methods and Applications focuses on the fuzzy set approach to multiple attribute decision making (MADM). Drawing on their experience, the authors bring together current methods and real-life applications of MADM techniques for decision analysis. They also propose a novel hybrid MADM model that combines DEMATEL and analytic network process (ANP) with VIKOR procedures. The first part of the book focuses on the theory of each method and includes examples that can be calculated without a computer, providing a complete understanding of the procedures. Methods include the analytic hierarchy process (AHP), ANP, simple additive weighting method, ELECTRE, PROMETHEE, the gray relational model, fuzzy integral technique, rough sets, and the structural model. Integrating theory and practice, the second part of the book illustrates how methods can be used to solve real-world MADM problems. Applications covered in the book include:
Helping readers understand how to apply MADM techniques to their decision making, this book is suitable for undergraduate and graduate students as well as practitioners.
The Oxford Handbook of Organizational Decision Making comprehensively surveys theory and research on organizational decision-making, broadly conceived. Emphasizing psychological perspectives, while encompassing the insights of economics, political science, and sociology, it provides coverage at the individual, group, organizational, and inter-organizational levels of analysis. In-depth case studies illustrate the practical implications of the work surveyed. Each chapter is authored by one or more leading scholars, thus ensuring that this Handbook is an authoritative reference work for academics, researchers, advanced students, and reflective practitioners concerned with decision-making in the areas of Management, Psychology, and HRM. Contributors: Eric Abrahamson, Julia Balogun, Michael L. Barnett, Philippe Baumard, Nicole Bourque, Laure Cabantous, Prithviraj Chattopadhyay, Kevin Daniels, Jerker Denrell, Vinit M. Desai, Giovanni Dosi, Roger L.M. Dunbar, Stephen M. Fiore, Mark A. Fuller, Michael Shayne Gary, Elizabeth George, Jean-Pascal Gond, Paul Goodwin, Terri L. Griffith, Mark P. Healey, Gerard P. Hodgkinson, Gerry Johnson, Michael Johnson-Cramer, Alfred Kieser, Ann Langley, Eleanor T. Lewis, Dan Lovallo, Rebecca Lyons, Peter M. Madsen, A. John Maule, John M. Mezias, Nigel Nicholson, Gregory B. Northcraft, David Oliver, Annie Pye, Karlene H. Roberts, Jacques Rojot, Michael A. Rosen, Isabelle Royer, Eugene Sadler-Smith, Eduardo Salas, Kristyn A. Scott, Zur Shapira, Carolyne Smart, Gerald F. Smith, Emma Soane, Paul R. Sparrow, William H. Starbuck, Matt Statler, Kathleen M. Sutcliffe, Michal Tamuz, Teri Jane Ursacki-Bryant, Ilan Vertinsky, Benedicte Vidaillet, Jane Webster, Karl E. Weick, Benjamin Wellstein, George Wright, Kuo Frank Yu, and David Zweig.
Many of the complex problems faced by decision makers involve uncertainty as well as multiple conflicting objectives. This book provides a complete understanding of the types of objective functions that should be used in multiattribute decision making. By using tools such as preference, value, and utility functions, readers will learn state-of-the-art methods to analyze prospects to guide decision making and will develop a process that guarantees a defensible analysis to rationalize choices. Summarizing and distilling classical techniques and providing extensive coverage of recent advances in the field, the author offers practical guidance on how to make good decisions in the face of uncertainty. This text will appeal to graduate students and practitioners alike in systems engineering, operations research, business, management, government, climate change, energy, and healthcare.
This book is unique in identifying and presenting tools to environmental decision-makers to help them improve the quality and clarity of their work. These tools range from software to policy approaches, and from environmental databases to focus groups. This title is equally of value to environmental managers, and students in environmental risk, policy, economics and law.
Researchers have revealed that real expertise, while applied to
well-defined tasks with highly circumscribed contexts, often
stretches beyond its routine boundaries. For example, a medical
doctor may be called upon to diagnose a rare disease or perform
emergency surgery outside his or her area of specialization because
other experts are not available. Moreover, in some cases, the
context for expertise is in a constant state of flux, such that no
one case is identical. "Expertise Out of Context "is a culmination
of some of the most insightful studies conducted by researchers in
the fields of cognitive systems engineering and naturalistic
decision making in the effort to better understand expertise and
its development.
Winning takes many forms. For fans of Matthew Syed, this is a great sports book about leadership, judgement and decision-making - rooted in the theory that helped Ed Smith lead England cricket to sustained success. And to help us all win more. 'An absolutely fascinating book' THE GAME, The Times football pod How do you spot the opportunities that others miss? How do you turn a team's performance around? How do you make good decisions amid a tidal wave of information? And how can you improve? As chief selector for the England cricket team, Ed Smith pioneered new methods for building successful teams and watched his decisions tested in real time on the pitch. During his three-year tenure, England averaged 7 wins in every 10 completed matches, better than they have performed before or since. Making Decisions reveals Smith's unique approach to finding success in a fast-changing and increasingly data-reliant world. The best decisions, Smith argues, rely on a combination of differing kinds of intelligence: from algorithms to intuition. This is a truth that the most successful people know: data cannot account for everything, it must be harnessed with human insight. Whatever the power of data, humans aren't finished yet. Sharing for the first time the tools he introduced as England selector, Smith's book captures the immediacy of life at the sharp end, while also exploring frameworks from the top levels of sports, business and the arts. Decision-making is revealed as a creative enterprise, not a reductive system. Making Decisions offers an invaluable guide for those who want a better framework for developing, explaining and implementing new ideas.
All of human life may be seen as a process of decision-making, but it is only in recent years and in response to the needs of the large and complex organizations characterizing our society that this process has been subjected to scientific scrutiny. Out of this scrutiny--undertaken by a wide range of professionals in economics, administration, management, statistics, psychology, engineering, computer science, operations research, and systems analysis--there has begun to emerge a body of theory that has profound implications for improving practical decision-making. This book is the first to bring together all the various aspects of decision theory into one cohesive treatment, focusing on the meaning of "best" decisions and how "best" can be attained in practice. Professor White deals generally with the two major aspects of decision-making: uncertainty and utility (values), and how-using statistical theory, utility theory, game theory, and all the other components that go into decision theory- these can be measured and brought together into effective decision-making criteria. Particular attention is given to problems of knowledge and to the general place of information theory in decision-making; to the notion of "measurability" in this context; to the differences between the physical and human sciences, showing the scope for scientific method in seeking better decision making; and to problem-solving behavior and the problem environment, since these are vital aspects in the practical application of decision theory. Uniquely synthesizing the various aspects of contemporary decision theory, the book clearly and coherently illuminates the very subtle concepts of "better" decision-making. Its focus on the implications of theory for practical decisions will make the book a basic tool for professors and practitioners of operations research, management science, systems analysis, computer sciences, and other fields; and as the first basic text dealing with this subject, it will be widely used for advanced undergraduate and graduate courses on decision theory in departments of economics, statistics, and psychology, and in schools of business and engineering. "D.J. White" is presently professor and Head of the Department of Operational Research at Strathclyde University. He has had more than ten years experience in this field, two and a half of which were spent in research specifically on the examination of decision theory in the light of practical problem solving.
Probability theory is a key tool of the physical, mathematical, and social sciences. It has also been playing an increasingly significant role in philosophy: in epistemology, philosophy of science, ethics, social philosophy, philosophy of religion, and elsewhere. A case can be made that probability is as vital a part of the philosopher's toolkit as logic. Moreover, there is a fruitful two-way street between probability theory and philosophy: the theory informs much of the work of philosophers, and philosophical inquiry, in turn, has shed considerable light on the theory. This Handbook encapsulates and furthers the influence of philosophy on probability, and of probability on philosophy. Nearly forty articles summarise the state of play and present new insights in various areas of research at the intersection of these two fields. The articles will be of special interest to practitioners of probability who seek a greater understanding of its mathematical and conceptual foundations, and to philosophers who want to get up to speed on the cutting edge of research in this area. There is plenty here to entice philosophical readers who don't work especially on probability but who want to learn more about it and its applications. Indeed, this volume should appeal to the intellectually curious generally; after all, there is much here to be curious about. We do not expect all of this volume's audience to have a thorough training in probability theory. And while probability is relevant to the work of many philosophers, they often do not have much of a background in its formalism. With this in mind, we begin with 'Probability for Everyone-Even Philosophers', a primer on those parts of probability theory that we believe are most important for philosophers to know. The rest of the volume is divided into seven main sections: History; Formalism; Alternatives to Standard Probability Theory; Interpretations and Interpretive Issues; Probabilistic Judgment and Its Applications; Applications of Probability: Science; and Applications of Probability: Philosophy.
An analogy is a comparison that points out the similarities between things that are different in all other respects. Teaching students how to solve analogies not only develops their logical thinking, but also builds visual awareness and verbal proficiency. The seven different types of visual analogies and 14 different verbal analogies in Analogies for Beginners are perfect for beginning lessons in logical reasoning, flexible thinking, and vocabulary. Each page gives students an example of the type of analogy that is being introduced and then provides 7 (visual) or 10 (verbal) problems for them to solve. This combination of verbal and visual formats is an ideal way to introduce logical thinking in primary grades. Whether you have time for one analogy a day or a worksheet a week, students will benefit in many ways when analogies are part of your curriculum. The use of visual analogies is beneficial for developing visual analysis even for older students, but especially useful for nonreaders and students with developing English skills. The verbal analogies provide students with exercises that require them to use word comprehension and also to examine various characteristics, uses, and relationships. This is one of a series of analogy books. For younger students, use First Time Analogies. For older students, use Thinking Through Analogies, Analogies for the 21st Century, or Advancing Though Analogies. Grades 1-3
This safari will send students on an expedition that will result in hours of good thinking and unbridled enthusiasm. As enthusiasm soars so do the levels of thinking skills engaged. Students love these deductive logic puzzles so much that they beg to do them, little realizing that they are building important reading comprehension and thinking skills. Teachers love these puzzles because of their ease of use in multicurricular parallels and their effortlessness in fitting into pullout programs of limited duration. Each motivating puzzle includes an introduction with student-related topics, clues, a grid, and an illustration. The goal in Logic Safari is to hunt down the clues, sort, analyze, and combine them into the correct solution. Each book represents an ever-increasing challenge to students while scenarios remain fresh, evoking renewed eagerness. The size of the grids is an indication of difficulty. This is the second in a three-book series of deductive logic puzzles. For alternate levels, see Logic Safari Book 1 and Logic Safari Book 3. Grades 3-4
The benefits and importance of Socratic seminars are widely recognized, but little has been written on "how" to make them happen successfully in the classroom. By offering real-world examples and straightforward answers to frequent questions, Matt Copeland has created a coaching guide for both the teacher new to Socratic seminars and the experienced teacher seeking to optimize the benefits of this powerful strategy. "Socratic Circles" also shows teachers who are familiar with literature circles the many ways in which these two practices complement and extend each other. Effectively implemented, Socratic seminars enhance reading comprehension, listening and speaking skills, and build better classroom community and conflict resolution skills. By giving students ownership over the classroom discussion around texts, they become more independent and motivated learners. Ultimately, because there is a direct relationship between the level of participation and the richness of the experience, Socratic seminars teach students to take responsibility for the quality of their own learning. Filled with examples to help readers visualize the application of these concepts in practice, "Socratic Circles "includes transcripts of student dialogue and work samples of preparation and follow-up activities. The helpful appendices offer ready-to-copy handouts and examples, and suggested selections of text that connect to major literary works. As our classrooms and our schools grow increasingly focused on meeting high standards and differentiating instruction for a wide variety of student needs and learning styles, Socratic seminars offer an essential classroom tool for meeting these goals." Socratic Circles" is a complete and practical guide to Socratic seminars for the busy classroom teacher.
The highly praised Western, The Good, the Bad, and the Ugly, has been used in many game-theory courses over the years and has also found its way into leading journals of this field. Using the rich material offered by this movie, alongside other elements from popular culture, literature and history, this book furthers this exploration into a fascinating area of economics. In his series of Schumpeter lectures, Manfred J. Holler uses his analysis of Sergio Leone's movie as a starting point to argue that combinations of desires, secrets and second-mover advantages trigger conflicts but also allow for conflict resolution. Many people and organizations have a desire for secrecy, and this is often motivated by a desire to create a second-mover advantage, and by undercutting the second-mover advantage of others. This book demonstrates that the interaction of these three ingredients account for a large share of social problems and failures in politics and business but, somewhat paradoxically, can also help to overcome some of the problems that result by applying one or two of them in isolation. This book has been written for curious readers who want to see the world from a different perspective and who like simple mathematics alongside story telling. Its accessible approach means that it will be of use to students and academics alike, especially all those interested in decision making, game theory, and market entry.
This book helps new teachers and experienced ones -- find
solutions to common classroom challenges. It presents 25 real
scenarios along with What's Effective, What's NOT Effective, and
Bottom Line strategies for handling the most common teacher
challenges. P>Ideal for high-interest staff development
workshops or new teacher induction programs, this book shows
teachers how to -- REAL Teachers, REAL Challenges, REAL Solutions: 25 Ways to
Handle the Challenges of the Classroom Effectively is for
This book presents new theory and empirical studies on the roles of cognitive workload and fatigue on repeated financial decisions. The mathematical models that are developed here utilize two cusp catastrophe functions for discontinuous changes in performance and integrate objective measures of workload, subjective experiences, and individual differences among the decision makers. Additional nonlinear dynamical processes are examined with regard to persistence and antipersistence in decisions, entropy, further explanations of overall performance, and the identification of risk-optimization profiles for long sequences of decisions.
The goal of this book is to help business managers and academic
researchers understand the means-end perspective and the methods by
which it is used, and to demonstrate how to use the means-end
approach to develop better marketing and advertising strategy. The
authors discuss methodological issues regarding interviewing and
coding, present applications of the means-end approach to marketing
and advertising problems, and describe the conceptual foundations
of the means-end approach.
Love Canal. Exxon Valdez. Times Beach. Sacramento River Spill. Amoco Cadiz. Seveso. Every area of the world has been affected by improper waste disposal and chemical spills. Common hazardous waste sites include abandoned warehouses, manufacturing facilities, processing plants, and landfills. These sites poison the land and contaminate groundwater and drinking water. |
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