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Books > Reference & Interdisciplinary > Communication studies > Decision theory > General
Engaging Resistance: How Ordinary People Successfully Champion Change offers an empirically based explanation that expands our understanding about the nature of resistance to organizational change and the effects of champion behavior. The text presents a new model describing how resistance occurs over time and details what change proponents can do throughout three engagement periods to effectively work with hesitant colleagues. The book's findings are illuminated by examples of six different resistance cases, embedded in the transformation sagas of two real-world organizations. A fundamental premise of this work is that resistance should not be something to avoid or squash as people work to change their organizations. In fact, resistance can be viewed as a natural, healthy part of an organic process. When engaged properly, resisters can help to improve change efforts and strengthen an organization's overall transformation.
Processes of collective decision making are seen throughout modern
society. How does a government decide on an investment strategy
within the health care and educational sectors? Should a government
or a community introduce measures to combat climate change and CO2
emissions, even if others choose not too? Should a country develop
a nuclear capability despite the risk that other countries may
follow their lead?
Decision making is a crucial element in the field of medicine. The physician has to determine what is wrong with the patient and recommend treatment, while the patient has to decide whether or not to seek medical care, and go along with the treatment recommended by the physician. Health policy makers and health insurers have to decide what to promote, what to discourage, and what to pay for. Together, these decisions determine the quality of health care that is provided. Decision Making in Health Care, first published in 2000, is a comprehensive overview of the field of medical decision making - a rapidly expanding field that includes quantitative theoretical tools for modeling decisions, psychological research on how decisions are actually made, and applied research on how physician and patient decision making can be improved.
What is a fair distribution of resources and other goods when
individuals are partly responsible for their achievements? This
book develops a theory of fairness incorporating a concern for
personal responsibility, opportunities and freedom. With a critical
perspective, it makes accessible the recent developments in
economics and philosophy that define social justice in terms of
equal opportunities. It also proposes new perspectives and original
ideas. The book separates mathematical sections from the rest of
the text, so that the main concepts and ideas are easily accessible
to non-technical readers.
Gilboa and Schmeidler provide a new paradigm for modeling decision making under uncertainty. Case-based decision theory suggests that people make decisions by analogies to past cases: they tend to choose acts that performed well in the past in similar situations, and to avoid acts that performed poorly. The authors describe the general theory and its relationship to planning, repeated choice problems, inductive inference, and learning. They highlight its mathematical and philosophical foundations and compare it to expected utility theory as well as to rule-based systems.
Gilboa and Schmeidler provide a new paradigm for modeling decision making under uncertainty. Case-based decision theory suggests that people make decisions by analogies to past cases: they tend to choose acts that performed well in the past in similar situations, and to avoid acts that performed poorly. The authors describe the general theory and its relationship to planning, repeated choice problems, inductive inference, and learning. They highlight its mathematical and philosophical foundations and compare it to expected utility theory as well as to rule-based systems.
This book defends the view that any adequate account of rational decision making must take a decision maker's beliefs about causal relations into account. The early chapters of the book introduce the nonspecialist to the rudiments of expected utility theory. The major technical advance offered by the book is a "representation theorem" that shows that both causal decision theory and its main rival, Richard Jeffrey's logic of decision, are both instances of a more general conditional decision theory. In providing the most complete and robust defense of causal decision theory the book will be of interest to a broad range of readers in philosophy, economics, psychology, mathematics, and artificial intelligence.
This controversial book explores the potential for the use of lotteries in social, and particularly legal, decision-making contexts. Utilizing a variety of disciplines and materials, the author considers in detail the history, advantages, and drawbacks of deciding issues of social significance by lot and argues that the value of the lottery as a legal decision-making device has generally been underestimated. The final chapter of the book considers how lotteries might be combined with other decision-mechanisms and suggests that it may sometimes be sensible to require that adjudication takes place in the shadow of the lottery.
This book offers a comprehensive treatment of the exercises and case studies as well as summaries of the chapters of the book "Linear Optimization and Extensions" by Manfred Padberg. It covers the areas of linear programming and the optimization of linear functions over polyhedra in finite dimensional Euclidean vector spaces.Here are the main topics treated in the book: Simplex algorithms and their derivatives including the duality theory of linear programming. Polyhedral theory, pointwise and linear descriptions of polyhedra, double description algorithms, Gaussian elimination with and without division, the complexity of simplex steps. Projective algorithms, the geometry of projective algorithms, Newtonian barrier methods. Ellipsoids algorithms in perfect and in finite precision arithmetic, the equivalence of linear optimization and polyhedral separation. The foundations of mixed-integer programming and combinatorial optimization.
Launching a child from home is second only to child-birth in its impact on a family. Parents can end up reeling with the empty-nest blues, while teens find their powers of self-reliance stretched to the breaking point. During the time of upheaval that begins senior year of high school with the nerve-wracking college application process and continues into the first year of life away from home, The Launching Years is a trusted resource for keeping every member of the family sane. From weathering the emotional onslaught of impending separation to effectively parenting from afar, from avoiding the slump of “senioritis” to handling the newfound independence and the experimentation with alcohol and sexuality that college often involves, The Launching Years provides both parents and teens with well-written, down-to-earth advice for staying on an even keel throughout this exciting, discomforting, and challenging time.
The monograph gives a theoretical explanation of observed cooperative behavior in common pool situations. The incentives for cooperative decision making are investigated by means of a cooperative game theoretical framework. In a first step core existence results are worked out. Whereas general core existence results provide us with an answer for mutual cooperation, nothing can be said how strong these incentives and how stable these cooperative agreements are. To clarify these questions the convexity property for common pool TU-games in scrutinized in a second step. It is proved that the convexity property holds for a large subclass of symmetrical as well as asymmetrical cooperative common pool games. Core existence and the convexity results provide us with a theoretical explanation to bridge the gap between the observation in field studies for cooperation and the noncooperative prediction that the common pool resource will be overused and perhaps endangered.
This volume contains a selection of manuscripts referring to lectures presented at the Symposium on Operations Research 1999 (SOR'99) held at the Otto-von-Guericke University Magdeburg, Sep- tember 1 -3, 1999. This international conference took place under the auspices of the German OR society (GOR), and it was the first one organized in Germany since the foundation of GOR by merger of the two predecessor societies (DGOR and GMOOR) in 1998. The Symposium had 420 participants from 22 countries around the world. It attracted academicians and practitioners working in various fields of Operations Research and provided them with the most recent developments and advances in the full spectrum of Operations Research and related areas in economics, mathematics, and computer science. The selection of contributions to SOR'99 accepted by the program committee and the invited pa- pers formed a program which consisted of 265 lectures in 19 sections, including 2 plenary and 19 semi plenary presentations. 119 manuscripts were submitted for publication in the proceedings vo- lume. Due to the page limit for this volume and in order to insure a high quality level of the OR Proceedings a further review procedure had to take place which was strongly supported by the sec- tion chairpersons. It resulted in a selection of 87 manuscripts which are now presented in this volume.
Variational inequalities proved to be a very useful tool for investigation and solution of various equilibrium type problems arising in Economics, Operations Research, Mathematical Physics, and Transportation. This book is devoted to a new general approach to constructing solution methods for variational inequalities, which was called the combined relaxation approach. This approach is rather flexible and allows one to construct various methods both for single-valued and for multi-valued variational inequalities, including nonlinear constrained problems. The other essential feature of the combined relaxation methods is that they are convergent under very mild assumptions. The book can be viewed as an attempt to discribe the existing combined relaxation methods as a whole.
Community colleges are under intense pressure to change in response to shifts in an increasingly complex environment. Stakeholders are placing simultaneously contradictory demands on colleges for more and better service, increased accountability, and more efficient use of resources in order to get the most from colleges in tough economic times. These demands have contributed to cultural fragmentation in community colleges as staff are pulled in competing directions by events beyond their control. The upshot is a circumstance in which leaders are finding that culture is perhaps the most powerful element affecting organizational performance and change. The old saw "culture eats strategy for breakfast' epitomizes the importance of culture as a means for enhancing the long-term viability of an organization. This book provides fresh analysis of organizational culture in the community college context with a critical examination of the relationship between organizational culture and change. Readers will benefit from frank advice with insights to drive change by transforming and leveraging culture to shape the future of community colleges.
This volume is a collection of papers presented at the Workshop on fll-Posed Variational Problems and Regularization Techniques held at the University of Trier (Germany) in September 1998. From September 3 through September 5, 1998, about 50 scientists met at Trier to discuss recent developments in the field of ill-posed variational prob lems and variational inequalities. 17 lectures were delivered, covering a large range of theoretical, numerical and practical aspects. The topics, as well as the invited speakers, were selected by the organizers. The main topics dis cussed were o Regularization methods for equilibrium problems o Variational inequalities and complementarity problems and their reg ularization o Regularization of fixed point problems o Links between approximation, penalization and regularization o Bundle methods, nonsmooth optimization and regularization o Error bounds for regularized optimization problems The organizers are gratful to all participants for their contribution to the success of this workshop. We also wish to express our cordial thanks for the financial support granted by the Deutsche Forschungsgemeinschajt, Bonn and the University of Trier. We are indebted to the referees for their helpful comments and suggestions and to our colleagues of the University Trier for their assistance in preparing this volume. M. Thera, U niversite de Limoges (France) R. Tichatschke, University of Trier (Germany) Contents Antipin A., Vasil'ev F. Regularization Method for Equilibrium Programming Problem with Inaccurate Initial Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Attouch H., Champion T. LP-Regularization of the Non-Parametric Minimal Surface Problem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 Auslender A., Teboulle M., Ben-Tiba S."
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. Equally of value to environmental managers, and students in environmental risk, policy, economics and law.
The Consequences of Governance Fragmentation explains the ongoing legacy of Milwaukee's longstanding school voucher policy. The book details the evolution of school choice in Milwaukee, its impacts on student achievement, key externalities such as school closures and political conflict, and the ways in which the Milwaukee voucher program challenges traditional notions of accountability and democratic control. Michael R. Ford concludes that the voucher policy has fragmented public education to the point where true aggregate level progress of pupils is impossible and proposes an umbrella governance structure to bring funding and accountability equity to all publicly funded Milwaukee schools.
Reginald Van Feisty, owner of the world-famous chocolate factory, Dutch Delight Chocolates, is excited about his brand-new recipe for chocolate. But, before he can manufacture even the first chocolate bar, the recipe is stolen! Have your students discover who stole Van Feisty's famous chocolate recipe and they'll not only be great detectives, they'll be masters of logical thinking. There are nine suspects, but which one is guilty? This mystery becomes a vehicle for teaching logical thinking. In solving the mystery, students will: differentiate between valid conclusions and invalid assumptions, use syllogisms to reach valid assumptions, recognize false premises, solve deductive matrix puzzles, and decode a secret message. Grades 5-8
This volume presents 71 articles dealing with models and methods of data analysis and classification, statistics and stochastics, information systems and text analysis as well as manifold applications. These articles are se lected from about 160 papers presented at the 20th Annual Conference of the Gesellschaft fUr Klassifikation. This conference was organized by R. Klar, at the Abteilung fiir Medizinische Informatik of the University of Freiburg from March 6 to 8, 1996. Based on the submitted and revised papers eight sections have been arranged, where the number of papers in the sections is given in parentheses: 1. Data Analysis and Classification (10) 2. Neural Networks and Pattern Recognition (4) 3. Statistical Models and Methods (11) 4. Information Systems: Design and Implementation (7) 5. Text Analysis and Information Retrieval (10) 6. Applications in Medicine (15) 7. Applications in Economics and Social Sciences (7) 8. Applications in Archaeology, Biology, Linguistics and Dialectometry (7) This grouping doesn't separate strictly, but it shows how theoretical aspects, applications and interdisciplinarities are interrelated in many respects. For convenience of the reader the contents of this volumne is briefly summarized. 1. Data Analysis and Classification This section presents ten articles dealing with different problems of data analysis and classification, especially with several aspects of multidimen sional scaling (MDS), three-way data analysis, stochastic aspects in cluster ing and regression of ordinal data. The survey article of M. W. Trosset considers an approach to define and classify MDS problems as optimization problems."
Although everyone has goals, only some people successfully attain
their respective goals on a regular basis. With this in mind, the
author attempts to answer the question of why some people are more
successful than others. He begins with the assumption that the key
to personal success is effective decision-making, and then utilizes
his own theory--The Self-Regulation Model--to explain the origin
and nature of individual differences in decision-making competence.
The author also summarizes a number of existing models of
decision-making and risk-taking.
Learning from experience, making decisions on the basis of the available information, and proceeding step by step to a desired goal are fundamental behavioural qualities of human beings. Nevertheless, it was not until the early 1940's that such a statistical theory - namely Sequential Analysis - was created, which allows us to investigate this kind of behaviour in a precise manner. A. Wald's famous sequential probability ratio test (SPRT; see example (1.8 turned out to have an enormous influence on the development of this theory. On the one hand, Wald's fundamental monograph "Sequential Analysis" ( Wa]*) is essentially centered around this test. On the other hand, important properties of the SPRT - e.g. Bayes optimality, minimax-properties, "uniform" optimality with respect to expected sample sizes - gave rise to the development of a general statistical decision theory. As a conse quence, the SPRT's played a dominating role in the further development of sequential analysis and, more generally, in theoretical statistics." |
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