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Perspectives on Regulation Adaptation in Multi-Agent Systems: from Agent to Organization Centric and Beyond

Year: 2025

Type: conference-paper

Abstract: In Multi-Agent Systems (MAS), the regulation of agents aims to define a balance between the control of the system and the agents’ autonomy. The ability of a MAS to adapt its regulations at run-time is an important feature that enables it to be flexible to changing situations. There is no unique approach to designing such ability. In this paper, we discuss the different options along the multi-agent oriented programming dimensions, i.e., agent, environment, interaction, and organization. We show that regulation adaptation can be managed within a single dimension or distributed in multiple dimensions. We use a case study in the manufacturing system domain to motivate the regulation adaptation in each of these dimensions.

DOI: 10.5753/wesaac.2025.37527

Authors: Elena Yan, Luis G. Nardin, Jomi F. Hübner, Olivier Boissier, Jaime S. Sichman

Institutions: Centre National de la Recherche Scientifique, Mines Saint-Étienne, Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes, Clermont Auvergne INP, Universidade Federal de Santa Catarina, Universidade de São Paulo

Language: English

Topic: Multi-Agent Systems and Negotiation

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Funders: Agence Nationale de la Recherche, Fundação de Amparo à Pesquisa do Estado de São Paulo, Centre National de la Recherche Scientifique

Award: Normative Artificial Intelligence for regulating MANufacturing

OpenAlex ID: W4415026032

FWCI:

Cites: 22

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