Trustworthy Decentralized Autonomous Machines: A New Paradigm in Automation Economy

Fernando Castillo, Oscar Castillo, Eduardo Brito, Simon Espinola
4/22/2025
cs.MAcs.CR

No confident code implementation found for this paper.

Abstract

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). Capable of managing both digital and physical assets and unlike traditional Decentralized Autonomous Organizations (DAOs), DAMs extend autonomy into the physical world, enabling trustless systems for Real and Digital World Assets (RDWAs). In this paper, we explore the technological foundations, and challenges of DAMs and argue that DAMs are pivotal in transitioning from trust-based to trustless economic models, offering scalable, transparent, and equitable solutions for asset management. The integration of AI-driven decision-making, IoT-enabled operational autonomy, and blockchain-based governance allows DAMs to decentralize ownership, optimize resource allocation, and democratize access to economic opportunities. Therefore, in this research, we highlight the potential of DAMs to address inefficiencies in centralized systems, reduce wealth disparities, and foster a post-labor economy.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Cite this paper

@article{castillo2025trustworthy,
  title  = {Trustworthy Decentralized Autonomous Machines: A New Paradigm in Automation Economy},
  author = {Fernando Castillo and Oscar Castillo and Eduardo Brito and Simon Espinola},
  year   = {2025},
  eprint = {2504.15676},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2504.15676v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2504.15676.svg)](https://codeofpaper.com/paper/2504.15676)

Discussion