A Regulation Adaptation Model for Multi-Agent Systems

Elena Yan, Luis G. Nardin, Olivier Boissier, Jaime S. Sichman

Abstract: In multi-agent systems (MAS), agents can be governed by regulations. Due to an ever-evolving set of exogenous or endogenous changes, the ability of MAS to adapt regulations becomes crucial. In the MAS literature, there is a lack of comprehensive works defining models to adapt regulations. We propose a general regulation adaptation model for MAS that defines regulation adaptation representations (i.e., detect-fact, design-fact, and execute-fact) and regulation adaptation capabilities (i.e., detect, design, and execute). We also propose a method that uses constitutive and regulative norms together with the adaptation representations to govern the execution of the regulation adaptation capabilities. We illustrate the feasibility of our model by extending the SAI and NPL(s) normative engines to support regulation adaptation and integrating them into a normative agent architecture in the JaCaMo framework.

External IDs:doi:10.3233/faia251245