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Machine Societies for Autonomous and Self-Governing Digital Ecosystems
ID：149 View Protection：ATTENDEE Updated Time：2026-07-27 12:58:17 Hits：7 Online

Start Time：2026-07-31 15:10（Asia/Kolkata）

Duration：15min

Session：S7 Disruptive Technologies for Manufacturing » S7-2Disruptive Technologies for Manufacturing

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Abstract
Abstract---Bigger and more intricate digital ecosystems, from cloud resource markets to fleets of IoT devices, through electronic DeFi platforms, are increasingly demanding self-governance with minimal or no human oversight. This paper examines the concept of machine societies, constituted as a set of autonomous software agents which cooperate, negotiate and enforce policies in a decentralised way, and introduces a multi-layered architecture - named Machine Society Architecture (MSA) - consisting of autonomous agents, support with trust and reputation management, consensus based on blockchain technology, edge-cloud intelligence, and adaptive policy enforcement. Five original mathematical models were developed about the aspects of governance efficiency, reputation evolution, consensus latency, resilience, and multi objectives resource allocation. A series of five comparison tables and three experimental graphs are generated based on the simulated benchmark scenarios, comparing the proposed framework to existing centralized, DAO-based and federated multi-agent governance baselines in terms of ten metrics including governance efficiency, decision accuracy, consensus latency, communication overhead, resource utilization, scalability, trust score, resilience index, energy consumption and fault tolerance. The results demonstrate a steady increase in governance efficiency and trust, as well as other reduced latency and overheads, and improved resilience. It is concluded with some open challenges and future directions concerning trustworthy, scalable and self-governing machine societies.
 
Keywords
machine societies, autonomous digital ecosystems, decentralized governance, multi-agent collaboration, trust and reputation management, consensus mechanisms, blockchain-enabled coordination, edge-cloud intelligence, self-adaptive policy enforcement.
Speaker
Balakumar A
ASSISTANT PROFESSOR Trichy；K.Ramakrishnan College of Engineering

Submission Author
Rohini Mahajan CGC University； Mohali
MITHUN R Shri Venkateshwara Padmavathy Engineering College
Veerababu A CMR College of Engineering & Technology, Hyderabad, Telangana, India,
Bhagwat Patel Patel IES College of Technology, IES University, Bhopal
MINIAPPAN P K Karpagam Academy of Higher Education Coimbatore-
Balakumar A Trichy；K.Ramakrishnan College of Engineering
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Important Date

  • Conference Date

    Jul 30

    2026

    to

    Aug 01

    2026

  • Jul 28 2026

    Draft paper submission deadline

  • Aug 03 2026

    Registration deadline

Sponsored By
The United Societies of Science
Organized By
Kongunadu College of Engineering and Technology
Supported By
IEEE Section
IEEE Madras Section
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