AIMAApr 6, 2020

Trust-based Multiagent Consensus or Weightings Aggregation

arXiv:2004.02490v1
AI Analysis

This addresses the challenge of reliable multi-agent decision-making in distributed systems, though it appears incremental as it builds on existing trust-based consensus methods.

The paper tackles the problem of achieving consensus among multiple agents with conflicting information using a trust network, providing both theoretical and empirical analysis of the framework's properties.

We introduce a framework for reaching a consensus amongst several agents communicating via a trust network on conflicting information about their environment. We formalise our approach and provide an empirical and theoretical analysis of its properties.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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