K-SNCC: group deviations in subsidized non-cooperative computing

Andrey Klinger, Moshe Tennenholtz
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引用次数: 1

Abstract

A function is subsidized non-cooperative computable [SNCC] if honest agents can compute it by reporting truthfully their private inputs, while unilateral deviations by the players are not beneficial: if a deviation from truth revelation can mislead other agents, this deviation will decrease the deviator's chances of correct computation, or, it will not affect these chances but the expected payment to the deviator will decrease; in addition, deviations can not increase the expected monetary payments to a deviator without decreasing his chances of correct computation. This paper extends the study of SNCC functions to the context of group deviations. A function is K-SNCC if deviations by a group of at most K agents are not beneficial. We provide a full characterization of the K-SNCC functions, both for the independent values and the correlated values settings.
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K-SNCC:补贴非合作计算中的群体偏差
如果诚实的代理人可以通过如实报告他们的私人输入来计算它,那么一个函数是补贴的非合作可计算的[SNCC],而参与者的单方面偏离是不利的:如果偏离真相会误导其他代理人,这种偏离将减少偏离者正确计算的机会,或者,它不会影响这些机会,但偏离者的预期支付将减少;此外,偏差不能在不降低偏差者正确计算的机会的情况下增加对偏差者的预期货币支付。本文将SNCC功能的研究扩展到群体偏差的背景下。如果一组最多K个代理的偏离是不利的,则函数为K- sncc。我们提供了K-SNCC函数的完整表征,包括独立值和相关值设置。
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