منابع مشابه
Learning to be fair
We study the process of equilibrium selection in games when players have "sophisticated" preferences of the type discussed, among others, by Rabin [16] and Segal and Sobel [17]. To this end, we employ standard noisy version of the best response dynamics. We obtain several results concerning some popular games such as the Prisoner's Dilemma, the Battle of the Sexes and the Dictator Game. For exa...
متن کاملHow to be Fair and Diverse?
Due to the recent cases of algorithmic bias in datadriven decision-making, machine learning methods are being put under the microscope in order to understand the root cause of these biases and how to correct them. Here, we consider a basic algorithmic task that is central in machine learning: subsampling from a large data set. Subsamples are used both as an end-goal in data summarization (where...
متن کاملAggregating preferences cannot be fair
SOMMARIO/ABSTRACT Preferences typically define a partial ordering over outcomes. A number of formalisms like soft constraints and CP-nets exists to specify such partial or-derings. In situations involving multiple agents, we need to combine the preferences of several individuals. In this paper, we consider each agent as voting on whether they prefer one outcome to another. We prove that, under ...
متن کاملLearning to be Fair in Multiplayer Ultimatum Games: (Extended Abstract)
We study a multiplayer extension of the well-known Ultimatum Game (UG) through the lens of a reinforcement learning algorithm. Multiplayer Ultimatum Game (MUG) allows us to study fair behaviors beyond the traditional pairwise interaction models. Here, a proposal is made to a quorum of Responders, and the overall acceptance depends on reaching a threshold of individual acceptances. We show that ...
متن کاملTo be fair or efficient or a bit of both
Introducing a new concept of (α, β)-fairness, which allows for a bounded fairness compromise, so that a source is allocated a rate neither less than 0 ≤ α ≤ 1, nor more than β ≥ 1, times its fair share, this paper provides a framework to optimize efficiency (utilization, throughput or revenue) subject to fairness constraints in a general telecommunications network for an arbitrary fairness crit...
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ژورنال
عنوان ژورنال: Nature
سال: 1982
ISSN: 0028-0836,1476-4687
DOI: 10.1038/298220d0