Safety in Multi|Agent Systems

What is a Multi Agent System - Relevance AI

This makes iterating and improving multi-agent systems more feasible. Interpretability: With multiple agents, it may be easier to understand and analyze how ...

Safety Risk Analysis in Multi-Agent Scenario - CEUR-WS

Multi-agent-Systems, Automated risk control, Functional safety. 1. Introduction. With the increasing bandwidth in communication networks even in wireless ...

Learning Large-scale Multi-agent Control with Safety Certificates

(2) A multi-agent trajectory tracking framework with convergence and safety guarantees. (3) A general method to learn safe controllers for black-box systems ...

NetSafe: Exploring the Topological Safety of Multi-agent Networks

The way these agents are linked, or the network's topology, can have a significant impact on the system's behavior and its ability to maintain ...

Multi-agent learning for safe and efficient autonomous vehicles

Ensuring safety is the first challenge in successfully modeling these critical applications and for bringing multi-agent systems into real-world ...

Safe Multi-Agent Reinforcement Learning for Multi-Robot Control

Safety is a long-standing pursuit in the development of robotic systems ... problems with safety constraints via safe multi-agent ...

Safety Constrained Multi-Agent Reinforcement Learning for Active ...

Given the dynamic of the system, it is generally more difficult and com- plicated to meet the constraint than to improve the objective in this problem, for the ...

PsySafe: A Comprehensive Framework for Psychological-based ...

We anticipate that our framework and observations will provide valuable insights for further research into the safety of multi-agent systems. We make our data ...

Intelligent complex for modeling safety movement of a multi-agent ...

Utilizing data from the sensory system, the agent can gather information about the surrounding environment. VS comprises two primary functional modules: the ...

A Safety Analysis Method for Multi-Agent Systems

This paper proposes a method for analyzing the safety of multi-agent systems by explicitly focusing on interactions and the accident data of systems that ...

An Intelligent Multi-Agent System Approach to Automating Safety ...

SafeChat provides a safer environment for children to communicate, identifying potential and actual threats, whilst maintaining the privacy of ...

Runtime Verification-Based Safe MARL for Optimized Safety Policy ...

How to design safe multi-agent reinforcement learning (safe MARL) [9] to achieve real-time verification, risk identification, and intelligent decision support ...

Assured Multi-Agent Reinforcement Learning for Safety-Critical ...

... multi-agent systems must learn to visit patrol points to satisfy mission objectives while limiting exposure to risky areas in these domains ...

Artificial intelligence (Multi-agent systems) | The Alan Turing Institute

To make safe multi-agent systems a reality, we need to address these challenges head on. Programme challenges. Understand how to engineer AI systems with social ...

Safe Interactive Autonomy for Multi-agent Systems

bility of our designed safe vehicle control framework. Build- ing safety assurance for autonomous multi-agent systems in real world is a challenging problem ...

Extending a Multi-Agent Systems Simulation Architecture for ... - HAL

a Multi-Agent Systems Simulation Architecture for Systems-of-Systems Security Analysis. System of. Systems Engineering Conference, 2018 ...

Learning Methods for Decentralized Control in Multi-Agent Systems

Communication and coordination among agents may have to be carried out over sparse, intermittent, unreliable, low data rate and/or noisy communication networks ...

Multi-agent system - Wikipedia

Characteristics · Autonomy: agents at least partially independent, self-aware, autonomous · Local views: no agent has a full global view, or the system is too ...

Safety Guarantees in Multi-agent Learning via Trapping Regions

of the 22nd International Conference on Autonomous Agents and Multiagent. Systems (AAMAS 2023), London, United Kingdom, May 29 – June 2, 2023,.

Safe Multi-Agent Reinforcement Learning with Quantitatively ...

Multi-agent reinforcement learning within autonomous systems has become a prominent research area with many examples of success and potential ...