Top 10 nolanlawson.com Competitors

verraes.net

Student of Systems

jimmysong.io

In-depth analysis of Jimmy's writing journey and content distribution

s3blog.org

s3.blog - информационно-справочный блог разработчика. разработка, администрирование, документация, linux, perl, javascript, bash, shell.

eng.wealthfront.com

How we adopted Next.js and Tailwind to improve performance and visual consistency

forum.qt.io

@Joe-von-Habsburg thanks for the idea. However, I want to distribute this particular application and I want it to be as independent of other sources as possi...

unix.com

Index of bsd manual pages in the unix.com online archive.

gamedev.stackexchange.com

Q&A for professional and independent game developers

github.com

Join the world's most widely adopted, AI-powered developer platform where millions of developers, businesses, and the largest open source community build software that advances humanity.

arxiv.org

We perform a behavioral experiment of karma, a class of mechanisms for repeated resource allocation with attractive fairness and efficiency properties, in theory. Individuals in these mechanisms bid non-tradable credits that flow from resource consumers to yielders, like karma. Human subjects recruited on Amazon MTurk are repeatedly and randomly paired to bid karma according to time-varying and stochastic individual preferences or urgency to acquire resources. Treatments varied in the dynamic urgency process (frequent moderate urgency versus sporadic high urgency) and the richness of the bidding scheme (binary versus full range). Results are benchmarked against random allocation, and karma achieves a (almost) Pareto improvement over random, despite the MTurk subjects deviating significantly from the theoretically optimal Nash bidding policy. Maximum improvement is attained by subjects that deviate from Nash by up to one karma bid unit on average, and positive improvement is attained with average deviations of up to 3-4 bid units. These findings hold across all treatments, among which no significant differences are found, with the exception of the sporadic high urgency process with binary bidding treatment being (weakly) favorable over others. These results offer behaviorally robust lower bounds for the expected performance of karma in human populations. They also provide guidance for future testing and implementation of karma mechanisms in the real world.