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research.nvidia.com

Support for developers, forums, solutions and licensing information for NVIDIA AI Enterprise, vGPU, Omniverse, DGX and more.

research.microsoft.com

Explore Microsoft products and services and support for your home or business. Shop Microsoft 365, Copilot, Teams, Xbox, Windows, Azure, Surface and more.

research.google

Learn more about our faculty and student programs and events that support the research community by providing research engagement opportunities.

research.facebook.com

at meta, research permeates everything we do. we believe the most interesting research questions are derived from real world problems.

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.

scholar.google.com

google scholar provides a simple way to broadly search for scholarly literature. search across a wide variety of disciplines and sources: articles, theses, books, abstracts and court opinions.

ieee.org

IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.

dl.acm.org

acm digital library home page

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.

research.adobe.com

Look into the future of innovation at Adobe Research