منابع مشابه
Social Learning and Collective Choice
To be pertinent to democratic practice, collective choice functions need not apply to all possible constellations of individual preference, but only to those that are "humanly possible" in an appropriate sense. The present paper develops a theory of humanly possible preference within the context of the mathematical theory of learning. The theory of preference is then exploited in an attempt to ...
متن کاملSocial learning and health plan choice.
I use data from the University of California to empirically examine the role of social learning in employees' choices of health plans. The basic empirical strategy starts with the observation that if social learning is important, health plan selections should appear to be correlated across employees within the same department. Estimates of discrete choice models in which individuals' perceived ...
متن کاملwillingness to communicate in the iranian context: language learning orientation and social support
why some learners are willing to communicate in english, concurrently others are not, has been an intensive investigation in l2 education. willingness to communicate (wtc) proposed as initiating to communicate while given a choice has recently played a crucial role in l2 learning. it was hypothesized that wtc would be associated with language learning orientations (llos) as well as social suppo...
Designing social choice mechanisms using machine learning
Social choice studies ordinal preference and information aggregation with applications in high-stakes political elections as well as low-stakes movie rating websites. Recently, computational aspects of classical social choice mechanisms have been extensively investigated, yet not much has been done in designing new mechanisms with the help of computational techniques. In this paper, we outline ...
متن کاملConventional Machine Learning for Social Choice
Deciding the outcome of an election when voters have provided only partial orderings over their preferences requires voting rules that accommodate missing data. While existing techniques, including considerable recent work, address missingness through circumvention, we propose the novel application of conventional machine learning techniques to predict the missing components of ballots via late...
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ژورنال
عنوان ژورنال: International Review of Economics Education
سال: 2008
ISSN: 1477-3880
DOI: 10.1016/s1477-3880(15)30097-9