Elements of Antirival Accounting with sNFT

Tommi Elo*, Jarno Marttila, Sergi Cutillas, Esko Hakanen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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Abstract

Accounting with antirival tokens, i.e., accounting based on shareable units that gain value with increased use, enables efficient and effective collective action. However, most currencies are rival tokens which can naturally represent — and be exchanged to — rival goods, such as a cup of coffee. Antirival systems of account would be a natural fit for the economy of antirival goods because the logic of value creation and accounting would be compatible. It is challenging to find an allocatively efficient price for antirival goods, such as data, measured in rival units of account. We present an antirival accounting system based on Distributed Ledger Technology (DLT), where the fundamental operation is sharing instead of exchanging and study it with system dynamics models and simulations. We illustrate our arguments by presenting a system known as Streamr Awards that defines three tokens of a fundamentally novel type, shareable non-fungible token (sNFT). We present the functioning of one of these in the work allocation of a self-directed online community.
Original languageEnglish
Title of host publicationComputational Science – ICCS 2023 - 23rd International Conference, Proceedings
Subtitle of host publication23rd International Conference, Prague, Czech Republic, July 3–5, 2023, Proceedings, Part IV
EditorsJiří Mikyška, Clélia de Mulatier, Valeria V. Krzhizhanovskaya, Peter M.A. Sloot, Maciej Paszynski, Jack J. Dongarra
PublisherSpringer
Pages256-263
Number of pages8
ISBN (Electronic)978-3-031-36027-5
ISBN (Print)978-3-031-36020-6
DOIs
Publication statusPublished - 26 Jun 2023
MoE publication typeA4 Conference publication
EventInternational Conference on Computational Science - Prague, Czech Republic
Duration: 3 Jul 20235 Jul 2023
Conference number: 23

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume14074
ISSN (Print)0302-9743

Conference

ConferenceInternational Conference on Computational Science
Abbreviated titleICCS
Country/TerritoryCzech Republic
CityPrague
Period03/07/202305/07/2023

Keywords

  • sNFT
  • Antirival goods
  • System dynamics
  • Blockchain
  • DLT

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