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Fair Money -- Public Good Value Pricing With Karma Economies

Riehl, Kevin et al. · 2024 · arxiv_oai
arXiv (OAI) · Papers · 2024
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multiagent-systemstheoretical-economics
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[2407.05132] Fair Money -- Public Good Value Pricing With Karma Economies Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Computer Science > Multiagent Systems arXiv:2407.05132 (cs) [Submitted on 6 Jul 2024] Title: Fair Money -- Public Good Value Pricing With Karma Economies Authors: Kevin Riehl , Anastasios Kouvelas , Michail Makridis View a PDF of the paper titled Fair Money -- Public Good Value Pricing With Karma Economies, by Kevin Riehl and 2 other authors View PDF HTML (experimental) Abstract: City road infrastructure is a public good, and over-consumption by self-interested, rational individuals leads to traffic jams. Congestion pricing is effective in reducing demand to sustainable levels, but also controversial, as it introduces equity issues and systematically discriminates lower-income groups. Karma is a non-monetary, fair, and efficient resource allocation mechanism, that employs an artificial currency different from money, that incentivizes cooperation amongst selfish individuals, and achieves a balance between giving and taking. Where money does not do its job, Karma achieves socially more desirable resource allocations by being aligned with consumers' needs rather than their financial power. This work highlights the value proposition of Karma, gives guidance on important Karma mechanism design elements, and equips the reader with a useful software framework to model Karma economies and predict consumers' behaviour. A case study demonstrates the potential of this feasible alternative to money, without the burden of additional fees. Subjects: Multiagent Systems (cs.MA) ; Theoretical Economics (econ.TH) Cite as: arXiv:2407.05132 [cs.MA] (or arXiv:2407.05132v1 [cs.MA] for this version) https://doi.org/10.48550/arXiv.2407.05132 Focus to learn more arXiv-issued DOI via DataCite Journal reference: npj sustainable mobility and transport 2024 Related DOI : https://doi.org/10.1038/s44333-024-00014-4 Focus to learn more DOI(s) linking to related resources Submission history From: Kevin Riehl [ view email ] [v1] Sat, 6 Jul 2024 16:56:29 UTC (15,196 KB) Full-text links: Access Paper: View a PDF of the paper titled Fair Money -- Public Good Value Pricing With Karma Economies, by Kevin Riehl and 2 other authors View PDF HTML (experimental) TeX Source view license Current browse context: cs.MA < prev | next > new | recent | 2024-07 Change to browse by: cs econ econ.TH References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations? ) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv ( What is alphaXiv? ) Links to Code Toggle CatalyzeX Code Finder for Papers ( What is CatalyzeX? ) DagsHub Toggle DagsHub ( What is DagsHub? ) GotitPub Toggle Gotit.pub ( What is GotitPub? ) Huggingface Toggle Hugging Face ( What is Huggingface? ) ScienceCast Toggle ScienceCast ( What is ScienceCast? ) Demos Demos Replicate Toggle Replicate ( What is Replicate? ) Spaces Toggle Hugging Face Spaces ( What is Spaces? ) Spaces Toggle TXYZ.AI ( What is TXYZ.AI? ) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower ( What are Influence Flowers? ) Core recommender toggle CORE Recommender ( What is CORE? ) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs . Which authors of this paper are endorsers? | Disable MathJax ( What is MathJax? ) We gratefully acknowledge support from our major funders , member institutions , , and all contributors. About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab) Major funding support from

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