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In this paper, we outline a framework for modeling utility-basedblockchain-enabled economic systems using Agent Based Modeling (ABM). Ourapproach 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 aclosed loop that models the evolution of cryptoeconomies over time. We applythis framework as a case-study to Filecoin, a decentralized blockchain-basedstorage network. We perform several experiments that explore the effect ofdifferent strategies, capitalization, and external factors to agent rewards,that highlight the efficacy of our approach to modeling blockchain basedcryptoeconomies.

An Agent-Based Model Framework for Utility-Based Cryptoeconomies