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Machine Societies for Autonomous and Self-Governing Digital Ecosystems
编号：149 访问权限：仅限参会人 更新：2026-07-27 12:58:17 浏览：11次 Online

报告开始：2026年07月31日 15:10（Asia/Kolkata）

报告时间：15min

所在会场：[S7] Disruptive Technologies for Manufacturing [S7-2] Disruptive Technologies for Manufacturing

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摘要
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.
 
关键词
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.
报告人
Balakumar A
ASSISTANT PROFESSOR Trichy；K.Ramakrishnan College of Engineering

稿件作者
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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重要日期

  • 会议日期

    07月30日

    2026

    至

    08月01日

    2026

  • 07月28日 2026

    初稿截稿日期

  • 08月03日 2026

    注册截止日期

主办单位
The United Societies of Science
承办单位
Kongunadu College of Engineering and Technology
协办单位
IEEE Section
IEEE Madras Section
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