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Books > Reference & Interdisciplinary > Communication studies > Decision theory > General
Winner of best smart thinking book 2022 (Business Book Awards) Guardian best books of 2021 'Original, thought-provoking and a joy to read' Tim Harford 'Highly recommended. It's not easy to become (more of) a scout, but it's hard not to be inspired by this book' Rutger Bregman When it comes to what we believe, humans see what they want to see. In other words, we have what Julia Galef calls a 'soldier' mindset. From tribalism and wishful thinking, to rationalising in our personal lives and everything in between, we are driven to defend the ideas we most want to believe - and shoot down those we don't. But if we want to get things right more often we should train ourselves to think more like a scout. Unlike the soldier, a scout's goal isn't to defend one side over the other. It's to go out, survey the territory, and come back with as accurate a map as possible. Regardless of what they hope to be the case, above all, the scout wants to know what's actually true. In The Scout Mindset, Galef shows that what makes scouts better at getting things right isn't that they're smarter or more knowledgeable than everyone else. It's a handful of emotional skills, habits, and ways of looking at the world - which anyone can learn. With fascinating examples ranging from how to survive being stranded in the middle of the ocean, to how Jeff Bezos avoids overconfidence, to how superforecasters outperform CIA operatives, to Reddit threads and modern partisan politics, Galef explores why our brains deceive us and what we can do to change the way we think. 'With insights that are both sharp and actionable, The Scout Mindset picks up where Predictably Irrational left off. Reading it will teach you to think more clearly, see yourself more accurately, and be wrong a little less often' Adam Grant
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. It is often thought that responsibility is a complex notion, but this monograph proposes a simple analytical framework that makes it possible to disentangle the different concepts of fairness that deal with neutralizing inequalities for which the individuals are not held responsible, rewarding their effort, respecting their choices, or staying neutral with respect to their responsibility sphere. It dwells on paradoxes and impossibilities only as a way to highlight important ethical options and always proposes solutions and reasonable compromises among the conflicting values surrounding equality and responsibility. The theory is able to incorporate disincentive problems and is illustrated in the examination of applied policy issues such as: income redistribution when individuals may be held responsible for their choices of labor supply or education; social and private insurance when individuals may be held responsible for their risky lifestyle; second chance policies; the measurement of inequality of opportunities and social mobility.
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.
"Improving Learning Environments" provides the first systematic
comparative cross-national study of school disciplinary climates.
In this volume, leading international social science researchers
explore nine national case studies to identify the institutional
determinants of variation in school discipline, the possible links
between school environments and student achievement, as well as the
implications of these findings for understanding social inequality.
Der Bilinguale Unterricht in Deutschland entwickelt sich derzeit zu einem Regelangebot. Bei dieser Entwicklung wird jedoch die sachfachliche Kompetenz in Theorie, Forschung und Praxis noch nicht im wunschenswerten Masse berucksichtigt. In der europaischen Diskussion um Content and Language Integrated Learning interessiert vor allem die fremdsprachliche Kompetenz. Die Rolle der schulischen Erstsprache sowie der Aufbau fachlicher Literalitat in zwei Sprachen werden kaum berucksichtigt. Dieser Band bilanziert die Entwicklung des Bilingualen Unterrichts. Er vereint Beitrage aus Forschung, Ausbildung und Schule, die sich aus unterschiedlichen Fachperspektiven mit seinen derzeitigen Herausforderungen befassen. Eine konzeptuelle Klarung und Weiterentwicklung des Bilingualen Unterrichts sowie der darauf bezogenen Lehrerbildung scheinen notwendig. Dazu soll dieses Buch einen Diskussionsbeitrag leisten.
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.
Decision analysis is a prescriptive theory that aids individuals or groups confronted with complex problems in a wide variety of contexts. By framing issues, identifying risks, eliciting stakeholder preferences, and suggesting alternative approaches, decision analysts can offer workable solutions in domains such as the environment, health and medicine, engineering and operations research, and public policy. This book is a mixture of historical and forward-looking essays on key topics in decision analysis. Part I covers the history and foundations of decision analysis. Part II discusses structuring decision problems, including the development of objectives and their attributes, and influence diagrams. Part III discusses probabilities and their elicitation and Bayes nets. Part IV discusses additive and multiplicative utilities, risk preferences, and 'option pricing' methods. Part V discusses risk analysis. Part VI puts decision analysis in a behavioral and organizational context. Part VII presents case studies of applications.
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.
The concept of rationality is a common thread through the human and
social sciences -- from political science to philosophy, from
economics to sociology, and from management science to decision
analysis. But what counts as rational action and rational behavior?
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.
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.
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 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.
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.
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. |
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