Modelling and Simulation of Adaptive Multi-Agent Systems with Stochastic Nets-within-Nets
Michael Köhler-Bußmeier, Lorenzo Capra
2024
Abstract
This study centers on self-adapting multi-agent systems modeled utilizing the SONAR framework. Our key focus is on forecasting the costs and benefits of adaptation during execution within the MAPE loop (monitor, analyse, plan, and execute). Analyzing these adaptation processes is intricate due to SONAR enabling second-order activities, such as structural adaptation involving agent interaction protocols or the organizational network itself. We forecast these dynamic processes using a stochastic run-time model (e.g., the environment has a stochastic representation). Since SONAR is conceptualized with HORNETS (a nets-within-nets formalism), we necessitate “probabilistic” HORNETS. To illustrate our approach’s effectiveness, we showcase a small case study of a self-modifying MAS organization and provide an analysis of adaptation dynamics.
DownloadPaper Citation
in Harvard Style
Köhler-Bußmeier M. and Capra L. (2024). Modelling and Simulation of Adaptive Multi-Agent Systems with Stochastic Nets-within-Nets. In Proceedings of the 16th International Joint Conference on Computational Intelligence - Volume 1: ECTA; ISBN 978-989-758-721-4, SciTePress, pages 313-320. DOI: 10.5220/0013019700003837
in Bibtex Style
@conference{ecta24,
author={Michael Köhler-Bußmeier and Lorenzo Capra},
title={Modelling and Simulation of Adaptive Multi-Agent Systems with Stochastic Nets-within-Nets},
booktitle={Proceedings of the 16th International Joint Conference on Computational Intelligence - Volume 1: ECTA},
year={2024},
pages={313-320},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013019700003837},
isbn={978-989-758-721-4},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 16th International Joint Conference on Computational Intelligence - Volume 1: ECTA
TI - Modelling and Simulation of Adaptive Multi-Agent Systems with Stochastic Nets-within-Nets
SN - 978-989-758-721-4
AU - Köhler-Bußmeier M.
AU - Capra L.
PY - 2024
SP - 313
EP - 320
DO - 10.5220/0013019700003837
PB - SciTePress