Resilient Consensus Protocol for Multi-Agent Systems with Malicious Agents and Uncertain Trust Observations
The proposed resilient consensus protocol integrates trust observations from physical communication channels and a confidence parameter to achieve consensus among legitimate agents despite the presence of malicious agents and uncertainty in trust information.
Secure Average Consensus Algorithm with Dynamics-Based Privacy Preservation for Unbalanced Digraphs
The core message of this article is to develop a novel privacy-preserving average consensus algorithm for unbalanced digraphs. The algorithm carefully embeds randomness in mixing weights and introduces an auxiliary parameter to mask the state-update rule in the initial iterations, while exploiting the intrinsic robustness of consensus dynamics to guarantee the exact average consensus.
Necessary and Sufficient Conditions for Scale-Free State Synchronization of Homogeneous Multi-Agent Systems
Necessary and sufficient conditions for achieving scale-free state synchronization of homogeneous multi-agent systems via linear dynamic non-collaborative protocols, with and without utilizing local bounds on neighborhoods.
STEMFold: Stochastic Temporal Manifold for Predicting Trajectories of Partially Observable Multi-Agent Systems
STEMFold is a spatiotemporal attention-based generative model that learns a stochastic manifold to predict the underlying unmeasured dynamics of a multi-agent system from observations of only a subset of visible agents.
Integrating Multi-Agent Reinforcement Learning with Control-Theoretic Safety Guarantees for Dynamic Network Bridging
This work introduces a hybrid approach that integrates Multi-Agent Reinforcement Learning with control-theoretic methods to ensure safe and efficient distributed strategies for dynamic network bridging tasks.
Social Deliberation vs. Social Contracts in Self-Governing Voluntary Organisations
Agents need awareness of limitations and compromise for effective self-governance.
Agent-Centric Perspective on Norm Enforcement and Sanctions
Sanctioning norm enforcement from an agent-centric perspective enhances norm compliance while preserving autonomy.
Cooperative Task Execution in Multi-Agent Systems: Efficiency and Performance Evaluation
The author proposes a multi-agent system for collaborative task execution, highlighting the efficiency of centralized versus decentralized control approaches based on task dependencies. The study emphasizes the importance of optimal group size for enhancing system performance.
