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 figure