Towards Formal Verification of Neuro-symbolic Multi-agent Systems

Panagiotis Kouvaros
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Abstract

This paper outlines some of the key methods we developed towards the formal verification of multi- agent systems, covering both symbolic and connectionist systems. It discusses logic-based methods for the verification of unbounded multi-agent systems (i.e., systems composed of an arbitrary number of homogeneous agents, e.g., robot swarms), optimisation approaches for establishing the robustness of neural network models, and methods for analysing properties of neuro-symbolic multi-agent systems.
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神经符号多智能体系统的形式化验证研究
本文概述了我们为多智能体系统的形式化验证所开发的一些关键方法,涵盖了符号系统和连接系统。它讨论了验证无界多智能体系统(即,由任意数量的同构智能体组成的系统,例如机器人群)的基于逻辑的方法,建立神经网络模型鲁棒性的优化方法,以及分析神经符号多智能体系统特性的方法。
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