An Agent-Based Model Framework for Utility-Based Cryptoeconomies

Autor:	Karra, Kiran, Mellan, Tom, Silva, Maria, Madrigal-Cianci, Juan P., Cortes, Axel Cubero, Zhang, Zixuan
Rok vydání:	2023
Předmět:	Computer Science - Cryptography and Security
Druh dokumentu:	Working Paper
Popis:	In this paper, we outline a framework for modeling utility-based blockchain-enabled economic systems using Agent Based Modeling (ABM). Our approach is to model the supply dynamics based on metrics of the cryptoeconomy. We then build autonomous agents that make decisions based on those metrics. Those decisions, in turn, impact the metrics in the next time-step, creating a closed loop that models the evolution of cryptoeconomies over time. We apply this framework as a case-study to Filecoin, a decentralized blockchain-based storage network. We perform several experiments that explore the effect of different strategies, capitalization, and external factors to agent rewards, that highlight the efficacy of our approach to modeling blockchain based cryptoeconomies. Comment: 14 pages, 5 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2307.15200 Zobrazit plný text záznamu View this record from Arxiv