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Lara Buchak sets out a new account of rational decision-making in the face of risk. She argues that the orthodox view (expected utility theory) is too narrow, and suggests an alternative, more permissive theory: one that allows individuals to pay attention to the worst-case or best-case scenario, and vindicates the ordinary decision-maker.
Decision Theory has considerably developed in the late 1970's and the 1980's. The evolution has been so fast and far-r2aching that it has become increasingly difficult to keep track of the new state of the art. After a decade of new contributions, there was a need for an overview' of the field. This book is intended to fill the gap. The reader will find here thirty~nine selected papers which were given at FUR-III, the third international confe rence on the Foundations and applications of Utility, Risk and decision theories, held in Aix-en-Provence in June 1986. An introductory chapter will provide an overview of the main questions raised on the subject since the 17th Century and more particularly so in the last thirty years, as well as some elementary information on the experimental and theoretical results obtained. It is thus hoped that any reader with some basic background in either Economics, Hanagement or Operations Research will be able to read profitably the thirty-nine other chapters. Psychologists, Sociologists, Social Philosophers and other specialists of the social sciences will also read this book with interest, as will high-level practitioners of decision~making and advanced students in one of the abovementioned fields. An expository survey of this volume will be found at the end of the introductory chapter, so that any of the seven parts of the book can be put by the reader in due perspective.
Apart from its foray into technical issues of risk assessment and management, this book has one principal aim. With situations of chancy outcomes certain key factors—including outcome possibilities, overall expectation, threat, and even luck—are measurable parameters. But risk is something different: it is not measurable a single parametric quantity, but a many-sided factor that has several different components, and constitutes a complex phenomenon that must be assessed judgmentally in a highly contextualized way. This book explains and analyzes how this works out in practice. Topics in this work include choice and risk, chance and likelihood, as well as outcome-yield evaluation and risk. It takes into account abnormal situations and eccentric measurements, situational evaluation and expectation and scrutinizes the social aspect of risk. The book is of interest to logicians, philosophers of mathematics, and researchers of risk assessment. The project is a companion piece to the author's LUCK THEORY, also published by Springer.
At its core, economics is about making decisions. In the history of economic thought, great intellectual prowess has been exerted toward devising exquisite theories of optimal decision making in situations of constraint, risk, and scarcity. Yet not all of our choices are purely logical, and so there is a longstanding tension between those emphasizing the rational and irrational sides of human behavior. One strand develops formal models of rational utility maximizing while the other draws on what behavioral science has shown about our tendency to act irrationally. In Risk, Choice, and Uncertainty, George G. Szpiro offers a new narrative of the three-century history of the study of decision making, tracing how crucial ideas have evolved and telling the stories of the thinkers who shaped the field. Szpiro examines economics from the early days of theories spun from anecdotal evidence to the rise of a discipline built around elegant mathematics through the past half century’s interest in describing how people actually behave. Considering the work of Locke, Bentham, Jevons, Walras, Friedman, Tversky and Kahneman, Thaler, and a range of other thinkers, he sheds light on the vast scope of discovery since Bernoulli first proposed a solution to the St. Petersburg Paradox. Presenting fundamental mathematical theories in easy-to-understand language, Risk, Choice, and Uncertainty is a revelatory history for readers seeking to grasp the grand sweep of economic thought.
Good decisions account for risks. For example, the risk of an accident while driving in the rain makes a reasonable driver decide to slow down. While risk is a large topic in theoretical disciplines such as economics and psychology, as well as in practical disciplines such as medicine and finance, philosophy has a unique contribution to make in developing a normative theory of risk that states what risk is, and to what extent our responses to it are rational. Weirich here develops a philosophical theory of the rationality of responses to risk. He first distinguishes two types of risk: first, a chance of a bad event, and second, an act's risk in relation to its possible outcomes. He argues that this distinction has normative significance in the sense that one's attitudes towards these types of risks - and how one acts on them - are governed by different general principles of rationality. Consequently, a comprehensive account of risk must not only characterize rational responses to risk but also explain why these responses are rational. Weirich explains how, for a rational ideal agent, the expected utilities of the acts available in a decision problem explain the agent's preferences among the acts. As a result, maximizing expected utility is just following preferences among the acts. His view takes an act's expected utility, not just as a feature of a representation of preferences among acts, but also as a factor in the explanation of preferences among acts. The book's precise formulation of general standards of rationality for attitudes and for acts, and its rigorous argumentation for these standards, make it philosophical; but while mainly of interest to philosophers, its broader arguments will contribute to the conceptual foundations of studies of risk in all disciplines that study it.
In this book, Paul Anand examines the normative interpretation of Subjective Expected Utility (SEU). He tests the philosophical and logical basis for associating SEU with rational choice. Decision theorists have increasingly come to accept the experimental evidence that subjects systematicallyviolate the axiomatic assumptions of SEU, and as a result the past decade has witnessed an explosion of mathematical models that seek to capture this behaviour. A current issue is whether axioms of SEU really are canons of rationality. Anand discusses whether the new decision-theoretic models aremore than just accounts of irrational behaviour. The main themes of the book are that, empirically, SEU is false, and that normatively it imposes unnecessary constraints on rational agency. Problems with Bayesianism are introduced and it is shown that useful distinctions between risk and uncertainty (in a Keynesian sense) can be made. Some of theradical methodological changes in economics that underpin theoretical developments in decision theory and economics are also discussed.
It is widely held that Bayesian decision theory is the final word on how a rational person should make decisions. However, Leonard Savage--the inventor of Bayesian decision theory--argued that it would be ridiculous to use his theory outside the kind of small world in which it is always possible to "look before you leap." If taken seriously, this view makes Bayesian decision theory inappropriate for the large worlds of scientific discovery and macroeconomic enterprise. When is it correct to use Bayesian decision theory--and when does it need to be modified? Using a minimum of mathematics, Rational Decisions clearly explains the foundations of Bayesian decision theory and shows why Savage restricted the theory's application to small worlds. The book is a wide-ranging exploration of standard theories of choice and belief under risk and uncertainty. Ken Binmore discusses the various philosophical attitudes related to the nature of probability and offers resolutions to paradoxes believed to hinder further progress. In arguing that the Bayesian approach to knowledge is inadequate in a large world, Binmore proposes an extension to Bayesian decision theory--allowing the idea of a mixed strategy in game theory to be expanded to a larger set of what Binmore refers to as "muddled" strategies. Written by one of the world's leading game theorists, Rational Decisions is the touchstone for anyone needing a concise, accessible, and expert view on Bayesian decision making.
Publisher Description
Managers in organisations must make rational decisions. Rational decision making is the opposite of intuitive decision making. It is a strict procedure utilising objective knowledge and logic. It involves identifying the problem to solve, gathering facts, identifying options and outcomes, analysing them, considering all the relationships and selecting the decision. Rational decision making requires support: methods and software tools. The identification of the problem to solve needs methods that would measure and evaluate the current situation. Identification and evaluation of options and analysis of the available possibilities involves analysis and optimisation methods. Incorporating intuition into rational decision making needs adequate methods that would translate ideas or observed behaviours into hard data. Communication, observation and opinions recording is hardly possible today without adequate software. Information and data that form the input, intermediate variables and the output must be stored, managed and made accessible in a user-friendly manner. Rational Decisions in Organisations: Theoretical and Practical Aspects presents selected recent developments in the support of the widely understood rational decision making in organisations, illustrated through case studies. The book shows not only the variety of perspectives involved in decision making, but also the variety of domains where rational decision support systems are needed. The case studies present decision making by medical doctors, students and managers of various universities, IT project teams, construction companies, banks and small and large manufacturing companies. Covering the richness of relationships in which the decisions should and must be taken, the book illustrates how modern organisations operate in chains and networks; they have multiple responsibilities, including social, legal, business and ethical duties. Nowadays, managers in organisations can make transparent decisions and consider a multitude of stakeholders and their diverse features, incorporating diverse criteria, using multiple types and drivers of information and decision-making patterns, and referring to numerous lessons learned. As the book makes clear, the marriage of theoretical ideas with the possibilities offered by technology can make the decisions in organisations more rational and, at the same time, more human.
Risk as we now know it is a wholly new phenomenon, the by-product of our ever more complex and powerful technologies. In business, policy making, and in everyday life, it demands a new way of looking at technological and environmental uncertainty. In this definitive volume, four of the world's leading risk researchers present a fundamental critique of the prevailing approaches to understanding and managing risk - the 'rational actor paradigm'. They show how risk studies must incorporate the competing interests, values, and rationalities of those involved and find a balance of trust and acceptable risk. Their work points to a comprehensive and significant new theory of risk and uncertainty and of the decision making process they require. The implications for social, political, and environmental theory and practice are enormous. Winner of the 2000-2002 Outstanding Publication Award of the Section on Environment and Technology of the American Sociological Association