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Decentralized Autonomous Machines (DAMs) represent a transformative paradigm in automation economy, integrating artificial intelligence (AI), blockchain technology, and Internet of Things (IoT) devices to create self-governing economic agents participating in Decentralized Physical Infrastructure Networks (DePIN).
G. Picard, C. Persson, O. Boissier, and F. Ramparany, “Multi-agent self-organization and reorganization to adapt m2m infrastructures,” in 2015 IEEE 9th International Conference on Self-Adaptive and Self-Organizing Systems . IEEE, 2015, pp. 91–100
2015
Earlier work this paper cites.
A. Suliman, Z. Husain, M. Abououf, M. Alblooshi, and K. Salah, “Monetization of iot data using smart contracts,” IET Networks , vol. 8, no. 1, pp. 32–37, 2019
2019
Earlier work this paper cites.
E. Ernst, R. Merola, D. Samaan et al. , “Economics of artificial intelligence: Implications for the future of work,” IZA Journal of Labor Policy , vol. 9, no. 1, pp. 1–35, 2019
2019
Earlier work this paper cites.
S. Malik, V. Dedeoglu, S. S. Kanhere, and R. Jurdak, “Trustchain: Trust management in blockchain and iot supported supply chains,” in 2019 IEEE international conference on blockchain (Blockchain) . IEEE, 2019, pp. 184–193
2019
Earlier work this paper cites.
J. Heiss, J. Eberhardt, and S. Tai, “From oracles to trustworthy data on-chaining systems,” in 2019 IEEE International Conference on Blockchain (Blockchain) . IEEE, 2019, pp. 496–503
2019
Earlier work this paper cites.
E. Ben-Sasson, I. Bentov, Y. Horesh, and M. Riabzev, “Scalable zero knowledge with no trusted setup,” in Advances in Cryptology–CRYPTO 2019: 39th Annual International Cryptology Conference, Santa Barbara, CA, USA, August 18–22, 2019, Proceedings, Part III 39 . Springer, 2019, pp. 701–732
2019
Earlier work this paper cites.
S. Wang, W. Ding, J. Li, Y. Yuan, L. Ouyang, and F.-Y. Wang, “Decentralized autonomous organizations: Concept, model, and applications,” IEEE Transactions on Computational Social Systems , vol. 6, no. 5, pp. 870–878, 2019
2019
Earlier work this paper cites.
D. A. Zetzsche, D. W. Arner, and R. P. Buckley, “Decentralized finance,” Journal of Financial Regulation , vol. 6, no. 2, pp. 172–203, 2020
2020
Earlier work this paper cites.
Y. Chen and C. Bellavitis, “Blockchain disruption and decentralized finance: The rise of decentralized business models,” Journal of Business Venturing Insights , vol. 13, p. e00151, 2020
2020
Earlier work this paper cites.
Q. Zhou, H. Huang, Z. Zheng, and J. Bian, “Solutions to scalability of blockchain: A survey,” Ieee Access , vol. 8, pp. 16 440–16 455, 2020
2020
Earlier work this paper cites.
R. Brophy, “Blockchain and insurance: a review for operations and regulation,” Journal of financial regulation and compliance , vol. 28, no. 2, pp. 215–234, 2020
2020
Earlier work this paper cites.
P. Kumar, G. P. Gupta, and R. Tripathi, “Tp2sf: A trustworthy privacy-preserving secured framework for sustainable smart cities by leveraging blockchain and machine learning,” Journal of Systems Architecture , vol. 115, p. 101954, 2021
2021
Earlier work this paper cites.
F. Schär, “Decentralized finance: on blockchain and smart contract-based financial markets,” Review of the Federal Reserve Bank of St Louis , vol. 103, no. 2, pp. 153–174, 2021
2021
Earlier work this paper cites.
P. Wongthongtham, D. Marrable, B. Abu-Salih, X. Liu, and G. Morrison, “Blockchain-enabled peer-to-peer energy trading,” Computers & Electrical Engineering , vol. 94, p. 107299, 2021
2021
Earlier work this paper cites.
J. Zarrin, H. Wen Phang, L. Babu Saheer, and B. Zarrin, “Blockchain for decentralization of internet: prospects, trends, and challenges,” Cluster Computing , vol. 24, no. 4, pp. 2841–2866, 2021
2021
Earlier work this paper cites.
M. Raval, S. Bhardwaj, A. Aravelli, J. Dofe, and H. Gohel, “Smart energy optimization for massive iot using artificial intelligence,” Internet of Things , vol. 13, p. 100354, 2021
2021
Earlier work this paper cites.
J. Heiss, A. Busse, and S. Tai, “Trustworthy pre-processing of sensor data in data on-chaining workflows for blockchain-based iot applications,” in International Conference on Service-Oriented Computing . Springer, 2021, pp. 133–149
2021
Earlier work this paper cites.
W. Shin, J. Han, and W. Rhee, “Ai-assistance for predictive maintenance of renewable energy systems,” Energy , vol. 221, p. 119775, 2021
2021
Earlier work this paper cites.
A. Baum, “Tokenization—the future of real estate investment,” The Journal of Portfolio Management , vol. 47, no. 10, pp. 41–61, 2021
2021
Earlier work this paper cites.
A. R. Sai, J. Buckley, and A. Le Gear, “Characterizing wealth inequality in cryptocurrencies,” Frontiers in blockchain , vol. 4, p. 730122, 2021
2021
Cited alongside, same era.
P. Dzhunev, “Helium network-integration of blockchain technologies in the field of telecommunications,” in 2022 13th National Conference with International Participation (ELECTRONICA) . IEEE, 2022, pp. 1–4
2022
Cited alongside, same era.
B. Guidi, A. Michienzi, and L. Ricci, “Evaluating the decentralisation of filecoin,” in Proceedings of the 3rd International Workshop on Distributed Infrastructure for the Common Good , 2022, pp. 13–18
2022
Cited alongside, same era.
J. Sedlmeir, J. Lautenschlager, G. Fridgen, and N. Urbach, “ the transparency challenge of blockchain in organizations,” Electronic Markets , vol. 32, no. 3, pp. 1779–1794, 2022
2022
Cited alongside, same era.
A. Di Battista, S. Grayling, E. Hasselaar, T. Leopold, R. Li, M. Rayner, and S. Zahidi, “Future of jobs report 2023,” in World Economic Forum, Geneva, Switzerland. https://www. weforum. org/reports/the-future-of-jobs-report-2023 , 2023
2023
Later among the works it cites.
A. Zarifis, C. P. Holland, and A. Milne, “Evaluating the impact of ai on insurance: The four emerging ai-and data-driven business models,” Emerald Open Research , vol. 1, no. 1, 2023
2023
Later among the works it cites.
A. D. Saenz, Z. Harned, O. Banerjee, M. D. Abràmoff, and P. Rajpurkar, “Autonomous ai systems in the face of liability, regulations and costs,” NPJ digital medicine , vol. 6, no. 1, p. 185, 2023
2023
Later among the works it cites.
Z. Lin, T. Wang, L. Shi, S. Zhang, and B. Cao, “Decentralized physical infrastructure networks (depin): Challenges and opportunities,” IEEE Network , 2024
2024
Later among the works it cites.
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V. Murinde, E. Rizopoulos, and M. Zachariadis, “The impact of the fintech revolution on the future of banking: Opportunities and risks,” International review of financial analysis , vol. 81, p. 102103, 2022
2022
Cited alongside, same era.
I. Ahmed, Y. Zhang, G. Jeon, W. Lin, M. R. Khosravi, and L. Qi, “A blockchain-and artificial intelligence-enabled smart iot framework for sustainable city,” International Journal of Intelligent Systems , vol. 37, no. 9, pp. 6493–6507, 2022
2022
Cited alongside, same era.
A. Sedrati, A. Ouaddah, A. Mezrioui, and B. Bellaj, “Iot-gov: an iot governance framework using the blockchain,” Computing , vol. 104, no. 10, pp. 2307–2345, 2022
2022
Cited alongside, same era.
2022
Cited alongside, same era.
G. L. Ford, G. Ancell, E. S. Hill, J. Levine, C. Reali, E. Rijks, and G. Sanchis, “Operational asset management,” in Power System Assets: Investment, Management, Methods and Practices . Springer, 2022, pp. 141–173
2022
Cited alongside, same era.
Z. Guo, D. Meng, C. Chakraborty, X.-R. Fan, A. Bhardwaj, and K. Yu, “Autonomous behavioral decision for vehicular agents based on cyber-physical social intelligence,” IEEE Transactions on Computational Social Systems , vol. 10, no. 4, pp. 2111–2122, 2022
2022
Cited alongside, same era.
Z. Xu and L. Chen, “L2chain: Towards high-performance, confidential and secure layer-2 blockchain solution for decentralized applications,” Proceedings of the VLDB Endowment , vol. 16, no. 4, pp. 986–999, 2022
2022
Cited alongside, same era.
M. C. Ballandies, H. Wang, A. C. C. Law, J. C. Yang, C. Gösken, and M. Andrew, “A taxonomy for blockchain-based decentralized physical infrastructure networks (depin),” in 2023 IEEE 9th World Forum on Internet of Things (WF-IoT) . IEEE, 2023, pp. 1–6
2023
Cited alongside, same era.
2024
Later among the works it cites.
H. Gong, “Tokenised real-world assets (rwa) and decentralised physical infrastructure networks (depin),” in The Web3 Revolution: Building the Future of Blockchain, DeFi, and the Metaverse . Springer, 2024, pp. 175–197
2024
Later among the works it cites.
B. Pillai and V. Bui, “Sok: Depin data layer for modular blockchain,” in 2024 IEEE International Conference on Blockchain and Cryptocurrency (ICBC) . IEEE, 2024, pp. 1–7
2024
Later among the works it cites.
A. Dhar Dwivedi, R. Singh, K. Kaushik, R. Rao Mukkamala, and W. S. Alnumay, “Blockchain and artificial intelligence for 5g-enabled internet of things: Challenges, opportunities, and solutions,” Transactions on Emerging Telecommunications Technologies , vol. 35, no. 4, p. e4329, 2024
2024
Later among the works it cites.
B. Luo, Z. Zhang, Q. Wang, A. Ke, S. Lu, and B. He, “Ai-powered fraud detection in decentralized finance: A project life cycle perspective,” ACM Computing Surveys , vol. 57, no. 4, pp. 1–38, 2024
2024
Later among the works it cites.
J. Heiss, F. Castillo, and X. Fan, “Towards credential-based device registration in dapps for depins with zkps,” in 2024 IEEE International Conference on Blockchain (Blockchain) . IEEE, 2024, pp. 583–590
2024
Later among the works it cites.
M. Christ, F. Baldimtsi, K. K. Chalkias, D. Maram, A. Roy, and J. Wang, “Sok: Zero-knowledge range proofs,” Cryptology ePrint Archive , 2024
2024
Later among the works it cites.
P.-C. Cheng, W. Ozga, E. Valdez, S. Ahmed, Z. Gu, H. Jamjoom, H. Franke, and J. Bottomley, “Intel tdx demystified: A top-down approach,” ACM Computing Surveys , vol. 56, no. 9, pp. 1–33, 2024
2024
Later among the works it cites.
L. Williams, G. Benedetti, S. Hamer, R. Paramitha, I. Rahman, M. Tamanna, G. Tystahl, N. Zahan, P. Morrison, Y. Acar et al. , “Research directions in software supply chain security,” ACM Transactions on Software Engineering and Methodology , 2024
2024
Later among the works it cites.
E. Brito, F. Castillo, P. Pullonen-Raudvere, and S. Werner, “Trustops: Continuously building trustworthy software,” in International Conference on Enterprise Design, Operations, and Computing . Springer, 2024, pp. 53–67
2024
Later among the works it cites.
H. Xu, L. Han, Q. Yang, M. Li, and M. Srivastava, “Penetrative ai: Making llms comprehend the physical world,” in Proceedings of the 25th International Workshop on Mobile Computing Systems and Applications , 2024, pp. 1–7
2024
Later among the works it cites.
N. S. Sizan, D. Dey, M. A. Layek, M. A. Uddin, and E.-N. Huh, “Evaluating blockchain platforms for iot applications in industry 5.0: A comprehensive review,” Blockchain: Research and Applications , p. 100276, 2025
2025
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Y. Saidu, S. M. Shuhidan, D. A. Aliyu, I. A. Aziz, and S. Adamu, “Convergence of blockchain, iot, and ai for enhanced traceability systems: A comprehensive review,” IEEE Access , 2025
2025
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