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

Author:

Engelmann Debora C.12ORCID,Ferrando Angelo2ORCID,Panisson Alison R.3ORCID,Ancona Davide2ORCID,Bordini Rafael H.1ORCID,Mascardi Viviana2ORCID

Affiliation:

1. School of Technology, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre 90619-900, Brazil

2. Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, 16145 Genova, Italy

3. Department of Computing, Federal University of Santa Catarina, Araranguá 88906-072, Brazil

Abstract

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.

Funder

National Council for Scientific and Technological Development

Coordination for the Improvement of Higher Education Personnel

MUR project “T-LADIES”

Publisher

MDPI AG

Subject

Artificial Intelligence,Control and Optimization,Mechanical Engineering

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