Within traditional decision theory, common decision principles -- e.g. the principle to maximize utility -- generally invoke idealization; they govern ideal agents in ideal circumstances. In Realistic Decision Theory, Paul Weirch adds practicality to decision theory by formulating principles applying to nonideal agents in nonideal circumstances, such as real people coping with complex decisions. Bridging the gap between normative demands and psychological resources, Realistic Decision Theory is essential reading for theorists seeking precise normative decision principles that...
Within traditional decision theory, common decision principles -- e.g. the principle to maximize utility -- generally invoke idealization; they govern...
This book represents a major contribution to game theory. It offers a new conception of equilibrium in games: strategic equilibrium. This new conception arises from a study of expected utility decision principles, which must be revised to take account of the evidence a choice provides concerning its outcome. In synthesizing decision theory and game theory in a powerful new way this book will be of particular interest to all philosophers concerned with decision theory and game theory as well as economists and other social scientists.
This book represents a major contribution to game theory. It offers a new conception of equilibrium in games: strategic equilibrium. This new concepti...
In Decision Space: Multidimensional Utility Analysis, 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, multidimensional utility analysis is a valuable new tool. 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...
In Decision Space: Multidimensional Utility Analysis, Paul Weirich increases the power and versatility of utility analysis and in the process advances...
Food products with genetically modified (GM) ingredients are common, yet many consumers are unaware of this. When polled, consumers say that they want to know whether their food contains GM ingredients, just as many want to know whether their food is natural or organic. Informing consumers is a major motivation for labeling. But labeling need not be mandatory. Consumers who want GM-free products will pay a premium to support voluntary labeling. Why do consumers want to know about GM ingredients? GM foods are tested to ensure safety and have been on the market for more than a decade....
Food products with genetically modified (GM) ingredients are common, yet many consumers are unaware of this. When polled, consumers say that they want...
Groups of people perform acts that are subject to standards of rationality. A committee may sensibly award fellowships, or may irrationally award them in violation of its own policies. A theory of collective rationality defines collective acts that are evaluable for rationality and formulates principles for their evaluation. This book argues that a group's act is evaluable for rationality if it is the products of acts its members fully control. It also argues that such an act is collectively rational if the acts of the group's members are rational. Efficiency is a goal of collective...
Groups of people perform acts that are subject to standards of rationality. A committee may sensibly award fellowships, or may irrationally award them...
One kind of probability and one kind of utility have decision theory as their central area of application. How should we understand this kind of probability and this kind of utility? This work compares two approaches to probability and utility. The first refines the traditional concepts of probability and utility, according to which they are rational degree of belief and rational degree of want. The second defines probability and utility in terms of preferences. Because degrees of belief and degrees of want are basic reasons for decisions, the traditional concepts characterize actions that...
One kind of probability and one kind of utility have decision theory as their central area of application. How should we understand this kind of proba...
Classical decision theory evaluates entire worlds, specified so as to include everything a decision-maker cares about. Thus applying decision theory requires performing computations far beyond an ordinary decision-maker's ability. In this book Paul Weirich explains how individuals can simplify and streamline their choices. He shows how different 'parts' of options (intrinsic, temporal, spatiotemporal, causal) are separable, so that we can know what difference one part makes to the value of an option, regardless of what happens in the other parts. He suggests that the primary value of options...
Classical decision theory evaluates entire worlds, specified so as to include everything a decision-maker cares about. Thus applying decision theory r...