294 research outputs found

    Games with Incomplete Information

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    Prize Lecture to the memory of Alfred Nobel, December 9, 1994.Game Theory; Incomplete Information

    On Incentives to Forecasters and to Decision Makers under Uncertainty

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    Bargaining in Ignorance of the Opponents’ Utility Function

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    A further note on Rawls's theory

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    Harsanyi JC. A further note on Rawls's theory. Working Papers. Institute of Mathematical Economics. Vol 22. Bielefeld: Center for Mathematical Economics; 1974

    A further note on Rawls's theory

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    Harsanyi JC. A further note on Rawls's theory. Working Papers. Institute of Mathematical Economics. Vol 22. Bielefeld: Center for Mathematical Economics; 1974

    Measuring Strategic Uncertainty in Coordination Games

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    Lecture on the first SFB/TR 15 meeting, Gummersbach, July, 18 - 20, 2004This paper explores predictability of behavior in coordination games with multiple equilibria. In a laboratory experiment we measure subjects' certainty equivalents for three coordination games and one lottery. Attitudes towards strategic uncertainty in coordination games are related to risk aversion, experience seeking, gender and age. From the distribution of certainty equivalents among participating students we estimate probabilities for successful coordination in a wide range of coordination games. For many games success of coordination is predictable with a reasonable error rate. The best response of a risk neutral player is close to the global-game solution. Comparing choices in coordination games with revealed risk aversion, we estimate subjective probabilities for successful coordination. In games with a low coordination requirement, most subjects underestimate the probability of success. In games with a high coordination requirement, most subjects overestimate this probability. Data indicate that subjects have probabilistic beliefs about success or failure of coordination rather than beliefs about individual behavior of other players

    Optical Sensor for Diverse Organic Vapors at ppm Concentration Ranges

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    A broadly responsive optical organic vapor sensor is described that responds to low concentrations of organic vapors without significant interference from water vapor. Responses to several classes of organic vapors are highlighted, and trends within classes are presented. The relationship between molecular properties (vapor pressure, boiling point, polarizability, and refractive index) and sensor response are discussed
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