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Utility, Probability, and Human Decision Making

Human decision making involves problems which are being studied with increasing interest and sophistication. They range from controversial;

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Cambridge Studies in Probability, Induction and Decision Theory

for the first time how to obtain a unique utility and probability representation for preferences and judgements of comparative likelihood. The;

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Cambridge Studies in Probability, Induction and Decision Theory

for the first time how to obtain a unique utility and probability representation for preferences and judgements of comparative likelihood. The;

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Foundations Of Decision-making Agents

, the symbolic argumentation approach to decision making developed in this book, combining logic and probability, offers several advantages;

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Rational Choice Using Imprecise Probabilities and Utilities

of rationality for making decisions in such cases. To begin, I represent the doxastic and conative state of an agent with a set of pairs of a probability;

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Making Decisions

involved in decision-making and argues that there is only one logical way to make a decision. By the use of three basic principles--assigning;

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Judgment and Decision Making

Research on human judgment and decision making has been strongly guided by a normative/descriptive approach, according to which human;

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Judgment and Decision Making

Research on human judgment and decision making has been strongly guided by a normative/descriptive approach, according to which human;

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Cambridge Studies in Probability, Induction and Decision Theory

In Decision Space: Multidimensional Utility Analysis, first published in 2001, Paul Weirich increases the power and versatility of utility;

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Cambridge Studies in Probability, Induction and Decision Theory

In Decision Space: Multidimensional Utility Analysis, first published in 2001, Paul Weirich increases the power and versatility of utility;

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Bayesian Decision Analysis

contains basic material on subjective probability theory and multi-attribute utility theory, event and decision trees, Bayesian networks, influence;

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Decision Synthesis

theory and utility theory, and assess how these ideas, developed for individual decision makers, may apply to decision-making within;

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Cambridge Studies in Probability, Induction and Decision Theory

the theory of knowledge. His work is distinctive in showing the interplay of epistemological concerns with probability and utility theory. Not;

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An Introduction to Decision Theory

foundations of utility theory, the debate over subjective and objective probability, Bayesianism, causal decision theory, game theory, and social;

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Bounded Rationality in Decision Making Under Uncertainty

restriction leads to observed human decision-making. Drawing on the Nobel-prize-winning studies by Kahneman and Tversky, researchers have found many;

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Probability and the Art of Judgment

the theory of knowledge. His work is distinctive in showing the interplay of epistemological concerns with probability and utility theory. Not;

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Introduction to Statistical Decision Theory

Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis provides the theoretical background to approach decision;

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Introduction to Statistical Decision Theory

Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis provides the theoretical background to approach decision;

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Risk Management for Water and Wastewater Utilities

is increasingly informed by risk-based decision-making. Aspects of utility management such as process design and optimisation, asset management and;

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Probability, Statistics, and Decision for Civil Engineers

practicing engineers, this text covers the development of decision theory and the applications of probability within the field. Extensive use;

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Choice-Free Rationality

individual's act to rational choice analysis. For example, in making a decision to vote, a conditional expected utility maximiser will compare the;

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The Science of Decision Making

techniques. Includes the facets of probability that relate to decision making.;

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Decision Making Under Uncertainty - The Case of State Dependent Preferences

This book presents a self-contained, comprehensive, and unified treatment of the theory of decision making under uncertainty with state;

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An Introduction to Decision Theory

making under ignorance and risk, the foundations of utility theory, the debate over subjective and objective probability, Bayesianism, causal;

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Decision Making Under Uncertainty

An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from;

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The Manual of Strategic Economic Decision Making

that approach and is meant to be a prescriptive guide for building BBN and executive decision-making for students and professionals; intended;

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Multiattribute Evaluation

Ward Edwards and J. Robert Newman clearly explain Multiattribute Utility Technology (MAUT), a technique that facilitates decision making by;

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