Game Theory, Experience, Rationality: Foundations of Social Sciences, Economics and Ethics in honor of John C. Harsanyi (Vienna Circle Institute Yearbook) (Hardcover)
By going through the book one can understand the theory of game-theoretical rationality, and their applications. 27 articles present the new situation and the recent advances in game theory after the award of the Nobel Prize in economics and especially in game theory to John F. Nash, John C. Harsanyi, and Reinhard Selten. Two of them, Harsanyi and Selten, have contributed leading articles to this volume. In utility and game theory, the question of which rationality governs their methods and the behavior of the agents as well has emerged as one of the most exciting new conceptual foundations of all social sciences. The main aim of this book is to find an answer to this problem. Do we have to give up our belief in the traditional form of deductive and linear rationality in the social sciences in favor of probabilistic and stochastic methods? Which kind of rationality do we, and should we, use when we attempt to practically solve societal problems and conflicts? Quite a few articles in this book address these questions. The consequences of a new, multi-faceted rationality, which is going to shake the traditional foundation of game theory, decision theory, and utility theory, and, finally, the social sciences in their entirety, are discussed in depth in seven chapters and a preface: `Rationality and the Foundations of the Social Sciences,' `Cooperation and Rationality,' `Rationality and Economics,' `Bayesian Theory and Rationality,' `Evolution and Evolutionary Game Theory,' `Ethics and Game Theory,' and `Applications of Game Theory'. The contributors include economists, utility and decision theorists, psychologists, sociologists, physicists, philosophers of sciences and probability theorists. They attempt to make their contributions accessible to a wide audience. The book will interest researchers, teachers and advanced students in the above-mentioned disciplines; it can be used for a one-semester course on the graduate level. The volume also includes a review section focusing on recent publications on Logical Empiricism and its influence. An autobiographical report on the Vienna Circle by Arne Naess follows the main part of the Yearbook. An overview of the activities of the Institute Vienna Circle 1997/98 concludes the volume.
Qualitative and Quantitative Data
Quatitative data are anything that can be expressed as a number, orquantified. Examples of quantitative data are scores on achievement tests,number of hours of study, or weight of a subject. These data may berepresented by ordinal, interval or ratio scales and lend themselves to moststatistical manipulation.
Qualitative data cannot be expressed as a number. Data thatrepresent nominal scales such as gender, socieo economic status, religiouspreference are usually considered to be qualitative data.
Both types of data are validtypes of measurement, and both are used in education journals. Only quantitative datacan be analyzed statistically, and thus more rigorous assessments of the dataare possible.
2007-10-11 22:36:05
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answer #1
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answered by sb 7
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i do no longer likely comprehend. i'm a woman with a math degree and replaced into getting a PhD in geophysics as quickly as I regrettably got here down with bipolar ailment and replaced into disabled by utilising the condition. whilst i replaced into in undergrad physics, there could be a classification of three hundred youngsters, and basically 5 have been women. it extremely is getting greater valuable. whilst i replaced into at school, basically 10% of the physics grads have been woman (and not just about that many on the college i replaced into at). i think of many of the version is cultural in some way, and not plenty to do with biology. some pressures women do face nonetheless is it extremely is not elementary to get tenure as a professor once you're a youthful woman who additionally needs to have toddlers, and your organic and organic clock is ticking. you put in particularly long hours as a professor. additionally, youthful women tend to take failure greater for my area than youthful adult males (learn teach this) so going to a college and doing poorly on the no longer elementary physics checks might reason an impressive variety of youthful ladies to alter majors. yet those checks are meant to be particularly no longer elementary! yet then the greater youthful women experience they're stupid and experience undesirable approximately themselves and additionally they supply up and do something much less demanding. those are 2 factors i can work out right off.
2016-11-08 01:24:15
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answer #2
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answered by fones 4
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social work is best one men accdient hellp the one other people. forest maintain the animals and other animals.
2007-10-15 00:45:10
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answer #3
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answered by rajesh 1
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