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Books > Reference & Interdisciplinary > Communication studies > Decision theory
Kulturen bzw. Gesellschaften in ihrer spezifischen Pragung haben systemischen Charakter und bedurfen einer ganzheitlichen Betrachtung. Im Zuge entwicklungspolitischer Massnahmen erfolgen Wissens- und Technologietransfer untrennbar vom Kulturtransfer. Eine Nahtstelle dieses Geschehens ist der Bildungsbereich. Aus einem anders gearteten kulturellen Kontext in einen bestimmten traditionellen Gesellschaftstypus hineinwirkende Massnahmen zwischenstaatlicher Entwicklungshilfe stellen eine Intervention in ein fremdes sozio-kulturelles Milieu dar. Die skizzierten Zusammenhange werden am Beispiel des Projektalltages an der deutsch-athiopischen Modellhochschule, der Adama University, aufgezeigt.
Knowledge in an Uncertain World is an exploration of the relation
between knowledge, reasons, and justification. According to the
primary argument of the book, you can rely on what you know in
action and belief, because what you know can be a reason you have
and you can rely on the reasons you have. If knowledge doesn't
allow for a chance of error, then this result is unsurprising. But
if knowledge does allow for a chance of error - as seems required
if we know much of anything at all - this result entails the denial
of a received position in epistemology. Because any chance of
error, if the stakes are high enough, can make a difference to what
can be relied on, two subjects with the same evidence and generally
the same strength of epistemic position for a proposition can
differ with respect to whether they are in a position to know.
The premise of this book is that most activity in everyday life and work is based on tasks that are novel, infrequent in our experience, or variable with respect to the action to be taken. Such tasks require decisions to be made and actions taken in the face of ambiguous or incomplete information. Time pressure is frequently great and penalties for failure are severe. Examples include investing in markets, controlling industrial accidents, and detecting fraud. The environments in which such tasks occur defy a definition of optimal performance, yet the benefits of successful decision making are considerable. The authors refer to domains without criteria for optimal performance as competency-based and describe the able behaviour of individuals who work in them by the term competence. The chapters examine the propositions that metacognitive processes give structure to otherwise ill-structured tasks and are fundamental enablers of decision-making performance.
Do the reasons we have for acting as we do derive from our concerns
and desires, or are there objective values in the world that we are
rationally required to pursue and protect? Alan Goldman argues for
the internalist or subjectivist view of practical reasons on the
grounds that it is simpler, more unified, and more comprehensible
than the rival objectivist position. He provides a naturalistic
account of practical rationality in terms of coherence within sets
of desires or motivational states, and between motivations,
intentions, and actions. Coherence is defined as the avoidance of
self-defeat, the defeat of one's own deepest concerns. The demand
for coherence underlies both practical and theoretical reason and
derives from the natural aims of belief and action. In clarifying
which desires create reasons, drawing on the literature of
cognitive psychology, Goldman offers conceptual analyses of
desires, emotions, and attitudes. Reasons are seen to derive
ultimately from our deepest occurrent concerns. These concerns
require no reasons themselves but provide reasons for many more
superficial desires.
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?
This book is a major new contribution to decision theory, focusing on the question of when it is rational to accept scientific theories. The author examines both Bayesian decision theory and confirmation theory, refining and elaborating the views of Ramsey and Savage. He argues that the most solid foundation for confirmation theory is to be found in decision theory, and he provides a decision-theoretic derivation of principles for how many probabilities should be revised over time. Professor Maher defines a notion of accepting a hypothesis, and then shows that it is not reducible to probability and that it is needed to deal with some important questions in the philosophy of science. A Bayesian decision-theoretic account of rational acceptance is provided together with a proof of the foundations for this theory. A final chapter shows how this account can be used to cast light on such vexing issues as verisimilitude and scientific realism.
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 non-specialist 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. The book solves a long-standing problem for Jeffrey's theory by showing for the first time how to obtain a unique utility and probability representation for preferences and judgements of comparative likelihood. The book also contains a major new discussion of what it means to suppose that some event occurs or that some proposition is true. The most complete and robust defence of causal decision theory available.
Prospect Theory: For Risk and Ambiguity provides the first comprehensive and accessible textbook treatment of the way decisions are made both when we have the statistical probabilities associated with uncertain future events (risk) and when we lack them (ambiguity). The book presents models, primarily prospect theory, that are both tractable and psychologically realistic. A method of presentation is chosen that makes the empirical meaning of each theoretical model completely transparent. Prospect theory has many applications in a wide variety of disciplines. The material in the book has been carefully organized to allow readers to select pathways through the book relevant to their own interests. With numerous exercises and worked examples, the book is ideally suited to the needs of students taking courses in decision theory in economics, mathematics, finance, psychology, management science, health, computer science, Bayesian statistics, and engineering.
In Decision Space: Multidimensional Utility Analysis, first published in 2001, Paul Weirich increases the power and versatility of utility analysis and in the process advances decision theory. Combining traditional and novel methods of option evaluation into one systematic method of analysis, multidimensional utility analysis is a valuable tool. It provides formulations of important decision principles, such as the principle to maximize expected utility; enriches decision theory in solving recalcitrant decision problems; and provides in particular for the cases in which an expert must make a decision for a group of people. The multiple dimensions of this analysis create a decision space broad enough to accommodate all factors affecting an option's utility. The book will be of interest to advanced students and professionals working in the subject of decision theory, as well as to economists and other social scientists.
This book is designed as an introduction to recent social science
work on risk and is intended primarily for students in sociology,
social psychology, and psychology, although it will also be useful
for those studying political science, government, public policy,
and economics. It is written by leading experts actively involved
in research in the field.
In Zeiten der Wissensgesellschaft, der Globalisierung und der damit verbundenen internationalen vergleichenden Studien nimmt die Untersuchung Bezug auf die Frage nach der Konkurrenzfahigkeit der Modernisierung des Systems Schule der letzten Jahre. Im Mittelpunkt der aktuellen Reformbestrebungen steht der Schuler. Vernachlassigt wird trotz der Pluralitat der erziehungswissenschaftlichen Theorien die Frage nach einer angemessenen Qualifikation der primaren, praktischen Agenten des Reformprozesses. Stehen die theoretischen Anspruche an eine adaquate, ideale Lehrerprofessionalitat im Widerspruch zum demografischen Alterungsprozess unserer Gesellschaft und somit der Lehrerkollegien? Am Beispiel der Bildungsreform des Bundeslandes Baden-Wurttemberg wurde nach Richtungsweisungen fur diese scheinbare Dichotomie mit der Absicht der qualitatssichernden Optimierung und gesundheitsfoerdernden Balancierung der Anforderungen und Herausforderungen des schulischen Umfeldes und den subjektiv-personellen Potenzen der Lehrer gesucht.
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.
Data. Does the word make you cringe? Does it evoke feelings of guilt? Are you unsure how to distill it and use it effectively? Grab this book and learn how to empower yourself and your school community with information gleaned from your school's data. Experienced educators and authors offer simple instructions that can help focus school improvement efforts and result in increasing teacher expertise-a factor that positively affects the quality of life for students long after they have left the classroom. Accepting responsibility for such far-reaching influence requires educators to adopt instructional improvement as a standard by which a school needs to operate and as a means to collaborate and interact with one another. More than that, though, instructional improvement is an important component of successful schools.
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.
These notes represent our summary of much of the recent research that has been done in recent years on approximations and bounds that have been developed for compound distributions and related quantities which are of interest in insurance and other areas of application in applied probability. The basic technique employed in the derivation of many bounds is induc tive, an approach that is motivated by arguments used by Sparre-Andersen (1957) in connection with a renewal risk model in insurance. This technique is both simple and powerful, and yields quite general results. The bounds themselves are motivated by the classical Lundberg exponential bounds which apply to ruin probabilities, and the connection to compound dis tributions is through the interpretation of the ruin probability as the tail probability of a compound geometric distribution. The initial exponential bounds were given in Willmot and Lin (1994), followed by the nonexpo nential generalization in Willmot (1994). Other related work on approximations for compound distributions and applications to various problems in insurance in particular and applied probability in general is also discussed in subsequent chapters. The results obtained or the arguments employed in these situations are similar to those for the compound distributions, and thus we felt it useful to include them in the notes. In many cases we have included exact results, since these are useful in conjunction with the bounds and approximations developed."
This publication provides updates on the bond market in Indonesia since 2017. The ASEAN+3 Bond Market Guide series provides information on the investment climate, rules, laws, opportunities, and characteristics of bond markets in Asia and the Pacific. It aims to help bond market issuers, investors, and financial intermediaries understand the local context and encourage greater participation in the region's rapidly developing bond markets. This edition updates the ASEAN+3 Bond Market Guide 2017: Indonesia.
This report examines the impacts of COVID-19 on labour markets along with adjustment patterns in Indonesia, Malaysia, the Philippines, Thailand, and Viet Nam. Labour markets in Southeast Asia were particularly hit hard in 2020 when government pandemic containment measures were most severe. COVID-19 exacerbated growing inequalities in the region and exposed large gaps in social protection . This report aims to help policymakers identify priorities, constraints, and opportunities for developing effective labour market strategies for economic recovery and beyond.
Die Entwicklung der Schularchitektur in Deutschland hatte, gunstigere gesellschaftliche Rahmenbedingungen vorausgesetzt, einen weitaus glucklicheren Verlauf nehmen koennen. Einer gedeihlicheren Entwicklung des Schulbaus in den deutschen Landern standen jedoch einerseits materielle Zwange, andererseits ideologische Bestrebungen traditionell als grosses Hindernis entgegen. Padagogische Belange gerieten allzuoft ins Hintertreffen. Mit dieser Problematik setzt sich die Arbeit auseinander: Die Schulbauentwicklung in Deutschland wird beginnend mit dem spaten 18. und fruhen 19. Jahrhundert anhand von historischen und zeitgenoessischen Beispielen erlautert. Neben der architektonischen Entwicklung sind in diesem Zusammenhang die mit ihr einhergehenden padagogischen und gesellschaftlichen Veranderungen von Bedeutung.
Across the world organizations continue to be damaged and brought down
by systemic non-compliance or the misdeeds of a few, and newspapers
abound with examples of corporate and NGO scandals and crimes. This
despite the increasing ethical demands stakeholders are making of
business, the exposing power of social media, the proliferating
requirements of compliance laws and regulations, and the burgeoning
numbers of policies, procedures and compliance officers which have been
put in place in response. So what's going on? Why isn't compliance
working? The Business Guide to Effective Compliance and Ethics examines
how rules-based, tick-box, defensible compliance continues to fail, and
lays out a new approach for organizations seeking to flourish and
succeed.
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. |
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