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Adaptive Collective Deliberation Models for Distributed Autonomous Systems
ID：157 View Protection：ATTENDEE Updated Time：2026-07-27 13:16:14 Hits：5 Online

Start Time：2026-08-01 10:15（Asia/Kolkata）

Duration：15min

Session：S8 Mixed Track Session » S8-1Mixed Track Session

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Abstract
Abstract—Coordination of perception, planning and action among multiple agents for distributed autonomous systems increasingly depends on multi-agent governance mechanisms that are free of a single controlling agent. As the number of agents grows, existing methods – centralized coordinators, decentralized autonomous organization (DAO) style voting and federated multi-agent aggregation show difficulties in achieving such accuracy, trust, latency and resilience simultaneously. We propose a model of governance based on repeated exchange of proposals, bounded deliberation rounds, and dynamically calculated scores of trust and competence per agent, which are used for weighting in the process to achieve consensus, dubbed Adaptive Collective Deliberation Model (ACDM). ACDM is formalized with 7 equations that explain the evolution of trust, the adaptive weighting mechanism, the aggregation of beliefs, convergence, adaptive round control, energy cost, and composite governance efficiency index. A discrete event simulator was employed to compare ACDM with centralized and DAO-based governance and federated governance in terms of their performance for populations of 10, 20, ..., 200 agents. At N = 200, ACDM achieved up to 24.8% increase in the accuracy of the decision, decreased latency by an average of 63.6%, and increased the resilience score from 0.51 to 0.92. The results show that this adaptive trust-weighted deliberation can achieve a desirable level of accuracy, scalability and fault tolerance for decentralized autonomous systems.
 
Keywords
adaptive deliberation; distributed governance; multi-agent systems; trust modelling; decentralized decision-making; autonomous systems; consensus algorithms
Speaker
Karthik M
ASSISTANT PROFESSOR K.Ramakrishnan College of Engineering； Trichy

Submission Author
Sugandhi Malhotra School of Engineering and Technology, CGC University Mohali-
MONISHKUMAR B Shri Venkateshwara Padmavathy Engineering College, Chennai
Soujanya K CMR College of Engineering & Technology, Hyderabad, Telangana, India,
RISHABH PASTARIYA IES College of Technology, IES University, Bhopal
VIJAYALAKSHMI V J Karpagam Academy of Higher Education Coimbatore
Karthik M K.Ramakrishnan College of Engineering； Trichy
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Important Date

  • Conference Date

    Jul 30

    2026

    to

    Aug 01

    2026

  • Jul 26 2026

    Draft paper submission deadline

  • Jul 28 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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