RV4JaCa-Towards Runtime Verification of Multi-Agent Systems and Robotic Applications

Engelmann, Debora CC, Ferrando, Angelo ORCID: 0000-0002-8711-4670, Panisson, Alison RR, Ancona, Davide, Bordini, Rafael HH and Mascardi, Viviana (2023) RV4JaCa-Towards Runtime Verification of Multi-Agent Systems and Robotic Applications. ROBOTICS, 12 (2). p. 49.

Access the full-text of this item by clicking on the Open Access link.

Official URL: http://dx.doi.org/10.3390/robotics12020049

Abstract

<jats:p>This paper presents a Runtime Verification (RV) approach for Multi-Agent Systems (MAS) using the JaCaMo framework. Our objective is to bring a layer of security to the MAS. This is achieved keeping in mind possible safety-critical uses of the MAS, such as robotic applications. This layer is capable of controlling events during the execution of the system without needing a specific implementation in the behaviour of each agent to recognise the events. In this paper, we mainly focus on MAS when used in the context of hybrid intelligence. This use requires communication between software agents and human beings. In some cases, communication takes place via natural language dialogues. However, this kind of communication brings us to a concern related to controlling the flow of dialogue so that agents can prevent any change in the topic of discussion that could impair their reasoning. The latter may be a problem and undermine the development of the software agents. In this paper, we tackle this problem by proposing and demonstrating the implementation of a framework that aims to control the dialogue flow in a MAS; especially when the MAS communicates with the user through natural language to aid decision-making in a hospital bed allocation scenario.</jats:p>

Item Type:	Article
Uncontrolled Keywords:	runtime verification, multi-agent systems, robotic applications, JaCaMo framework, explainable artificial intelligence, dialogue systems
Divisions:	Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User:	Symplectic Admin
Date Deposited:	21 Apr 2023 14:32
Last Modified:	17 Mar 2024 16:21
DOI:	10.3390/robotics12020049
Open Access URL:	https://doi.org/10.3390/robotics12020049
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3169868