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Author: Luigi Luini Publisher: Springer Science & Business Media ISBN: 1461550831 Category : Business & Economics Languages : en Pages : 360
Book Description
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.
Author: Luigi Luini Publisher: Springer Science & Business Media ISBN: 1461550831 Category : Business & Economics Languages : en Pages : 360
Book Description
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.
Author: National Research Council Publisher: National Academies Press ISBN: 0309120462 Category : Political Science Languages : en Pages : 422
Book Description
Risk assessment has become a dominant public policy tool for making choices, based on limited resources, to protect public health and the environment. It has been instrumental to the mission of the U.S. Environmental Protection Agency (EPA) as well as other federal agencies in evaluating public health concerns, informing regulatory and technological decisions, prioritizing research needs and funding, and in developing approaches for cost-benefit analysis. However, risk assessment is at a crossroads. Despite advances in the field, risk assessment faces a number of significant challenges including lengthy delays in making complex decisions; lack of data leading to significant uncertainty in risk assessments; and many chemicals in the marketplace that have not been evaluated and emerging agents requiring assessment. Science and Decisions makes practical scientific and technical recommendations to address these challenges. This book is a complement to the widely used 1983 National Academies book, Risk Assessment in the Federal Government (also known as the Red Book). The earlier book established a framework for the concepts and conduct of risk assessment that has been adopted by numerous expert committees, regulatory agencies, and public health institutions. The new book embeds these concepts within a broader framework for risk-based decision-making. Together, these are essential references for those working in the regulatory and public health fields.
Author: Richard W. Morris Publisher: Academic Press ISBN: 0128120991 Category : Psychology Languages : en Pages : 486
Book Description
Goal-Directed Decision Making: Computations and Neural Circuits examines the role of goal-directed choice. It begins with an examination of the computations performed by associated circuits, but then moves on to in-depth examinations on how goal-directed learning interacts with other forms of choice and response selection. This is the only book that embraces the multidisciplinary nature of this area of decision-making, integrating our knowledge of goal-directed decision-making from basic, computational, clinical, and ethology research into a single resource that is invaluable for neuroscientists, psychologists and computer scientists alike. The book presents discussions on the broader field of decision-making and how it has expanded to incorporate ideas related to flexible behaviors, such as cognitive control, economic choice, and Bayesian inference, as well as the influences that motivation, context and cues have on behavior and decision-making. - Details the neural circuits functionally involved in goal-directed decision-making and the computations these circuits perform - Discusses changes in goal-directed decision-making spurred by development and disorders, and within real-world applications, including social contexts and addiction - Synthesizes neuroscience, psychology and computer science research to offer a unique perspective on the central and emerging issues in goal-directed decision-making
Author: Denise L. Robinson Publisher: Lippincott Williams & Wilkins ISBN: 9780781729949 Category : Medical Languages : en Pages : 440
Book Description
This essential text presents and explains every aspect of clinical decision making, providing a sound base of knowledge for confidence and accuracy. Its format incorporates principles of problem-based learning methods that are used in many nursing programs. The revised Second Edition contains 20 new case studies of the most common diseases and disorders encountered in family practice; each includes a review of all the information necessary for developing a plan of care and emphasizes differential diagnosis and clinical reasoning for the nurse practitioner. The text's problem-oriented format promotes and strengthens critical thinking skills. Additional features include: tutorials; holistic health considerations; case accuracy; laboratory tests that require learners to interpret tests and their impact on a patient's condition; interdisciplinary collaboration; decision trees that are applicable to each case; research-based outcomes; complementary therapies; and much more. A Brandon-Hill Recommended Title.
Author: Stephanie Chitpin Publisher: Emerald Group Publishing ISBN: 1800718179 Category : Business & Economics Languages : en Pages : 192
Book Description
Understanding Decision-Making in Educational Contexts presents 'problem cases' confronting school leaders in real settings, and illustrates the multiple approaches that school leaders draw upon to navigate complex and challenging decision-making contexts.
Author: Itzhak Gilboa Publisher: Cambridge University Press ISBN: 9780521003117 Category : Business & Economics Languages : en Pages : 214
Book Description
This work, a paradigm for modelling decision-making under uncertainty, describes the general theory and its relationship to planning, repeated choice problems, inductive inference, and learning; and highlights its mathematical and philosophical foundations.
Author: Michael Luca Publisher: MIT Press ISBN: 0262542277 Category : Business & Economics Languages : en Pages : 229
Book Description
How tech companies like Google, Airbnb, StubHub, and Facebook learn from experiments in our data-driven world—an excellent primer on experimental and behavioral economics Have you logged into Facebook recently? Searched for something on Google? Chosen a movie on Netflix? If so, you've probably been an unwitting participant in a variety of experiments—also known as randomized controlled trials—designed to test the impact of different online experiences. Once an esoteric tool for academic research, the randomized controlled trial has gone mainstream. No tech company worth its salt (or its share price) would dare make major changes to its platform without first running experiments to understand how they would influence user behavior. In this book, Michael Luca and Max Bazerman explain the importance of experiments for decision making in a data-driven world. Luca and Bazerman describe the central role experiments play in the tech sector, drawing lessons and best practices from the experiences of such companies as StubHub, Alibaba, and Uber. Successful experiments can save companies money—eBay, for example, discovered how to cut $50 million from its yearly advertising budget—or bring to light something previously ignored, as when Airbnb was forced to confront rampant discrimination by its hosts. Moving beyond tech, Luca and Bazerman consider experimenting for the social good—different ways that governments are using experiments to influence or “nudge” behavior ranging from voter apathy to school absenteeism. Experiments, they argue, are part of any leader's toolkit. With this book, readers can become part of “the experimental revolution.”
Author: Helen Bao Publisher: Routledge ISBN: 9780429027253 Category : Architecture Languages : en Pages : 158
Book Description
This book takes a behavioural approach to examine six important housing questions: tenure decision, gentrification, place attachment, housing bubbles, housing wealth, and residential satisfaction. Using experimental and field data, the book demonstrates the effects of six behavioural biases and heuristics (i.e., anchoring and reference dependence, loss aversion, mental accounting, endowment effect, herd behaviours, and social comparison) on these housing decisions. The first part of the book introduces the questions and provides a behavioural science toolbox before the second part adopts a real-world case study approach. Real data sets and suggested answers are provided, and the cases come from the UK, USA, and China. Background information is given in each case to facilitate the understanding of the case data and question, as well as the discussions on the results. This book is ideal supplementary reading on a variety of courses such as housing studies, economics, real estate, research methods, and for students and academics who are interested in the application of behavioural science in housing decisions.
Author: Gina M Ankner Publisher: Cengage Learning ISBN: 9781111138578 Category : Medical Languages : en Pages : 168
Book Description
Reflecting the latest practices in the field, Clinical Decision Making: Case Studies in Medical-Surgical Nursing, 2nd edition bridges the gap between classroom knowledge and clinical application. Emphasizing holistic nursing care, this resource helps nursing students sharpen their critical thinking skills and gain experience applying what they have learned. The more than 40 medical-surgical case histories and related questions, and responses are based on real-life client situations. Every case contains an introductory blueprint of variables that must be considered while evaluating a particular scenario concerning the client, nursing protocol, and setting of care. Each blueprint and case is different, just as each clinical situation is unique. As learners simulate the actual decision-making process, they gain valuable experience making informed clinical judgments that will help them become successful nurses. Categorized by complexity, the book appeals to a broad range of learning levels and styles. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Author: Vincent A. W. J. Marchau Publisher: Springer ISBN: 3030052524 Category : Business & Economics Languages : en Pages : 408
Book Description
This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools to include the analysis of actors and networks related to the problem at hand. It also shows how lessons learned in the application process can be used to improve the approaches and tools used in the design process. The book offers guidance in identifying and applying appropriate approaches and tools to design plans, as well as advice on implementing these plans in the real world. For decisionmakers and practitioners, the book includes realistic examples and practical guidelines that should help them understand what decisionmaking under deep uncertainty is and how it may be of assistance to them. Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing strategic plans under deep uncertainty: Robust Decision Making, Dynamic Adaptive Planning, Dynamic Adaptive Policy Pathways, Info-Gap Decision Theory, and Engineering Options Analysis. Each approach is worked out in terms of its theoretical foundations, methodological steps to follow when using the approach, latest methodological insights, and challenges for improvement. In Part II, applications of each of these approaches are presented. Based on recent case studies, the practical implications of applying each approach are discussed in depth. Part III focuses on using the approaches and tools in real-world contexts, based on insights from real-world cases. Part IV contains conclusions and a synthesis of the lessons that can be drawn for designing, applying, and implementing strategic plans under deep uncertainty, as well as recommendations for future work. The publication of this book has been funded by the Radboud University, the RAND Corporation, Delft University of Technology, and Deltares.
Author: Luigi Luini
Author: Luigi Luini
Author: National Research Council
Author: Richard W. Morris
Author: Denise L. Robinson
Author: Stephanie Chitpin
Author: Itzhak Gilboa
Author: Michael Luca
Author: Helen Bao
Author: Gina M Ankner
Author: Vincent A. W. J. Marchau