Cryptoeconomics: Difference between revisions
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(https://epub.wu.ac.at/7782/1/Foundations%20of%20Cryptoeconomic%20Systems.pdf) | (https://epub.wu.ac.at/7782/1/Foundations%20of%20Cryptoeconomic%20Systems.pdf) | ||
=Examples= | |||
"A cryptoeconomic system such as the Bitcoin network can be described as a special class of complex socioeconomic system that is dynamic, adaptive, and multi-scale. Cryptoeconomic networks are dynamic due to the flow | |||
of information and assets through the network. Cryptoeconomic networks are adaptive because their behaviour | |||
adjusts in response to their environment, either directly in the case of the Bitcoin difficulty controller or more | |||
broadly through decisions on the part of node operators. Cryptoeconomic networks are multi-scale because they | |||
are specified by local protocols but are defined by their macro-scale properties, as is the case with the local ”no | |||
double spend” rule guaranteeing a globally conserved token supply [Zargham, Zhang and Preciado 2018]. Their | |||
design requires a strong interdisciplinary approach to develop resilient protocols that account for the spatial and | |||
temporal dynamics of those networks [Liaskos, Wang and Alimohammadi 2019]." | |||
(https://epub.wu.ac.at/7782/1/Foundations%20of%20Cryptoeconomic%20Systems.pdf) | |||
Revision as of 09:40, 27 August 2021
= "a term that has come to describe the mechanics and specifics of token distribution, according to a given sale and ownership structure". [1]
Description
Shermin Voshmgir and Michael Zargham:
"Cryptoeconomics is an emerging field of economic coordination games in cryptographically secured peer-to-peer networks. The term cryptoeconomics was casually coined in the Ethereum developer community, and is generally attributed to Vitalik Buterin. The earliest recorded citation is from a talk by Vlad Zamfir [Zamfir 2015], which was later loosely formalized in blog posts and talks by Buterin [Buterin 2017a], [Buterin 2017b]. The term has gained traction in the broader developer community [Tomaino 2017a] and in the academic community [Catalini and Gans 2016], but it still remains under-defined, possibly because it is often used in so many different contexts. Using the same term in different contexts leads to communication breakdowns and challenges when trying to come up with a rigorous definition of that term."
(https://epub.wu.ac.at/7782/1/Foundations%20of%20Cryptoeconomic%20Systems.pdf)
Examples
"A cryptoeconomic system such as the Bitcoin network can be described as a special class of complex socioeconomic system that is dynamic, adaptive, and multi-scale. Cryptoeconomic networks are dynamic due to the flow of information and assets through the network. Cryptoeconomic networks are adaptive because their behaviour adjusts in response to their environment, either directly in the case of the Bitcoin difficulty controller or more broadly through decisions on the part of node operators. Cryptoeconomic networks are multi-scale because they are specified by local protocols but are defined by their macro-scale properties, as is the case with the local ”no double spend” rule guaranteeing a globally conserved token supply [Zargham, Zhang and Preciado 2018]. Their design requires a strong interdisciplinary approach to develop resilient protocols that account for the spatial and temporal dynamics of those networks [Liaskos, Wang and Alimohammadi 2019]."
(https://epub.wu.ac.at/7782/1/Foundations%20of%20Cryptoeconomic%20Systems.pdf)