Research Released: “Sweetbridge Liquidity Protocol: Mathematical Specifications”

Michael Zargham
2 min readNov 28, 2017

--

Crypto-economics is hard; to quote my friend, co-author, and fellow Sweetbridge Advisor Alex Bulkin of Coinfund:

“Designing a cryptoeconomic structure is like designing a robot that will be released into a large crowd of people with the goal of not only surviving, but also of herding the crowd to do something for it. The robot will be kicked, drenched in sulphuric acid, unplugged, and interacted with in a wide variety of unexpected ways. But what the robot needs is to be given electricity, repair, and other resources. Also it will need people to give it directions and information.”

-Alex’s Original Medium Post, Jan, 2017

Blockchain technology has opened doors to economic systems engineering that have never existed before. BlockScience is providing cutting edge crypto-economic research built on the study of game theory, economic and social networks as well as control, stability and optimization of networked systems.In close collaboration with Sweetbridge and CoinFund, we are working to bring this new field to a new level of rigor and formal understanding; to learn more, download the new technical whitepaper from Sweetbridge and join us as we bring a new level of maturity to the study of token economics, with on a focus on efficiently delivering value to users.

Sweetbridge is developing an economic system intended to reduce or eliminate existing inefficiencies in supply chain commerce. The primary whitepaper and additional resources for the entire ecosystem are being posted on the Sweetbridge whitepaper site.

Today, we are proud to release the first of the Sweetbridge Technical Whitepaper Series:

“Sweetbridge Liquidity Protocol: Mathematical Specifications”

By Dr. Michael Zargham, Aleksandr Bulkin, Hui Huangand Scott Nelson.

This document addresses the mathematical fundamentals of the Sweetbridge Liquidity Protocol, including how this unique dual-token approach to blockchain-based self-lending can sustain itself in a highly variable market.

--

--

Michael Zargham
Michael Zargham

Written by Michael Zargham

Founder, Researcher, Decision Engineer, Data Scientist; PhD in systems engineering, control of networks.

No responses yet