Machine economies
Eduard Hartwich, Alexander Rieger, Johannes Sedlmeir, Dominik Jurek, Gilbert Fridgen
Abstract
This paper provides a foundational review of machine economies, examining the convergence of autonomous agents, distributed ledger technology, and the Internet of Things. The authors categorize how machines can engage in economic transactions without human intervention, analyzing the socio-technical shift from human-centric to machine-autonomous financial systems. The study explores the architectural requirements for identity, trust, and payment rails necessary to support machine-to-machine (M2M) interaction. By synthesizing existing literature and empirical trends, the researchers argue that machine economies will redefine industrial efficiency by enabling granular resource allocation and automated service provisioning. The work highlights the systemic dependencies of these models on decentralized infrastructure and identifies barriers related to interoperability, legal liability, and computational overhead. The paper is essential for understanding the broader implications of automated agents participating in open financial ecosystems and the architectural prerequisites for scaling autonomous economic networks.
Key Findings
- 1Autonomous machines require distinct identity and payment protocols to function in decentralized markets.
- 2The transition to machine economies reduces transaction friction but introduces novel risks regarding legal accountability.
- 3Blockchain infrastructure serves as the primary trust layer for M2M communication and value exchange.
- 4Interoperability between heterogeneous IoT devices remains the most significant technical hurdle for mass adoption.
Topics
Citation
BibTeX
@misc{machineeconomies2023,
title = {Machine economies},
author = {Eduard Hartwich and Alexander Rieger and Johannes Sedlmeir and Dominik Jurek and Gilbert Fridgen},
year = {2023},
howpublished = {\url{https://link.springer.com/article/10.1007/s12525-023-00649-0}},
}Knowledge Explorer
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