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

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.

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Published
2025-09-29
DOI
https://doi.org/10.5753/wesaac.2025.37527
Primary Topic
Auction Theory and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Jaime Simão Sichman, Olivier Boissier, Luis G. Nardin, Jomi Übner et al.
Auction Theory and Applications
article

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

Jaime Simão Sichman, Olivier Boissier, Luis G. Nardin, Jomi Übner, Elena Yan
article en

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.

Universidade de São Paulo (BR), Mines Saint-Étienne (FR), Universidade Federal de Santa Catarina (BR), Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes (FR), University of Clermont Auvergne (FR), Polydoro Ernani de São Thiago University Hospital (BR), Universidad San Pedro (PE), Clermont Université (FR)
Agence Nationale de la Recherche, Fundação de Amparo à Pesquisa do Estado de São Paulo, Centre National de la Recherche Scientifique
Openalex Percentile: Top 67%
Auction Theory and Applications
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