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Materias / palabras clave: Toma de decisiones (Estadística); Making Decision; Game theory; Economics; Mathematical models; Teoría de juegos

Decisions involve many intangibles that need to be traded off. To do that, they have to be measured along side tangibles whose measurements must also be evaluated as to, how well, they serve the objectives of the decisio...

This paper presents a critique of expected utility theory as a descriptive model of decision making under risk, and develops an alternative model, called prospect theory. Choices among risky prospects exhibit several per...

Expected utility theory has dominated the analysis of decision making under risk. It has been generally accepted as a normative model of rational choice (Keeney and Raiffa, 1976), and widely applied as a descriptive mode...

The psychological principles that govern the perception of decision problems and the evaluation of probabilities and outcomes produce predictable shifts of preference when the same problem is framed in different ways. Re...

Materias / palabras clave: Prospect theory; Cumulative prospect theory; Expected utility hypothesis; Risk aversion (psychology); Mathematical economics; Foundation (evidence); Weighting; Economics; Loss aversion; Ambiguity aversion; Axiom; Decisio...

Materias / palabras clave: Analytic hierarchy process; Computer science; Hierarchy; Management science; Analytic network process; Decision analysis; Decision theory; Process (computing); Operations research; Mathematics; Mathematical economics; En...

A groundbreaking discussion of how we can apply the new science of to nudge people toward decisions that will improve their lives by making them healthier, wealthier, and more free Every day, we make decisions on topics ...

A model is proposed which expresses consumer satisfaction as a function of expectation and expectancy disconfirmation. Satisfaction, in turn, is believed to influence attitude change and purchase i...

Materias / palabras clave: Theory of planned behavior; Psychology; Expectancy theory; Normative; Variance (accounting); Social psychology; Perception; Control (management); Value (mathematics); Cognitive psychology; Statistics; Mathematics

One of the problems which has plagued those attempting to predict the behavior of capital markets is the absence of a body of positive microeconomic theory dealing with conditions of risk. Although many useful insights c...

Abstract Given assumptions about the characteristics of knowledge and the knowledge requirements of production, the firm is conceptualized as an institution for integrating knowledge. The primary contribution of the pape...

A training algorithm that maximizes the margin between the training patterns and the decision boundary is presented. The technique is applicable to a wide variety of the classification functions, including Perceptrons, p...

Materias / palabras clave: Bootstrap aggregating; Regression; Artificial intelligence; Machine learning; Set (abstract data type); Linear regression; Class (philosophy); Outcome (game theory); Selection (genetic algorithm); Stability (learning the...

Materias / palabras clave: Robustness (evolution); Mathematics; Artificial intelligence; Computer science; Algorithm; Machine learning; Kernel (algebra); Decision tree; Tree (set theory); Pattern recognition (psychology); Mathematical analysis; Ch...

This paper surveys the field of reinforcement learning from a computer-science perspective. It is written to be accessible to researchers familiar with machine learning. Both the historical basis of the field and a broad...

Diagnostic systems of several kinds are used to distinguish between two classes of events, essentially "signals" and "noise". For them, analysis in terms of the "relative operating characteristic" of signal detection the...

The long-anticipated revision of this #1 selling book offers the most comprehensive, state of the art introduction to the theory and practice of artificial intelligence for modern applications. Intelligent Agents. Solvin...

Little has been done in the study of these intriguing questions, and I do not wish to give the impression that any extensive set of ideas exists that could be called a "theory." What is quite surprising, as far as the hi...

How should firms decide whether and when to invest in new capital equipment, additions to their workforce, or the development of new products? Why have traditional economic models of investment failed to explain the beha...

Machine learning addresses the question of how to build computers that improve automatically through experience. It is one of today's most rapidly growing technical fields, lying at the intersection of computer science a...

Baron and Kenny’s procedure for determining if an independent variable affects a dependent variable through some mediator is so well known that it is used by authors and requested by reviewers almost reflexively. Many ...

The nearest neighbor decision rule assigns to an unclassified sample point the classification of the nearest of a set of previously classified points. This rule is independent of the underlying joint distribution on the ...

Materias / palabras clave: computer science, decision theory, operation research, data mining, knowledge discovery; Science: Mathematics: Instruments and machines: Electronic computers. Computer science