Challenges in Modeling and Unmodeling Emergence, Rule Composition, and Networked Interactions in Complex Reactive Systems

Assaf Marron, Irun Cohen, Guy Frankel, David Harel, Smadar Szekely

2023

Abstract

Models of complex systems, both human-made and natural, assist in making critical decisions with regard to function, safety, economy, the environment and more. In this position paper, we explore the difficulty in modeling several innate properties of such systems, including: (i) the frequent emergence of new entities (like group effects and temporal patterns) and the system’s reaction to such emergence; (ii) the essence of the system’s reactive behavior as a rich composition of stand-alone rules; and (iii) the vast number of internal and external interactions that the system engages in. For each of these challenges we propose some implications to modeling—methodological approaches that can help address it and potential support in modeling languages and tools. We introduce the concept of unmodeling—formally defining model entities and behaviors that are excluded from model execution—and discuss how unmodeling enhances model quality, supports incremental enhancement, and facilitates evaluation. This report emanates from our research and development in modeling languages and methods and our present research in biological evolution. We believe that analysis and implementation of these principles have general applicability in model development and assessment.

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Paper Citation


in Harvard Style

Marron A., Cohen I., Frankel G., Harel D. and Szekely S. (2023). Challenges in Modeling and Unmodeling Emergence, Rule Composition, and Networked Interactions in Complex Reactive Systems. In Proceedings of the 11th International Conference on Model-Based Software and Systems Engineering - Volume 1: MODELSWARD, ISBN 978-989-758-633-0, pages 202-209. DOI: 10.5220/0011728900003402


in Bibtex Style

@conference{modelsward23,
author={Assaf Marron and Irun Cohen and Guy Frankel and David Harel and Smadar Szekely},
title={Challenges in Modeling and Unmodeling Emergence, Rule Composition, and Networked Interactions in Complex Reactive Systems},
booktitle={Proceedings of the 11th International Conference on Model-Based Software and Systems Engineering - Volume 1: MODELSWARD,},
year={2023},
pages={202-209},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011728900003402},
isbn={978-989-758-633-0},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Model-Based Software and Systems Engineering - Volume 1: MODELSWARD,
TI - Challenges in Modeling and Unmodeling Emergence, Rule Composition, and Networked Interactions in Complex Reactive Systems
SN - 978-989-758-633-0
AU - Marron A.
AU - Cohen I.
AU - Frankel G.
AU - Harel D.
AU - Szekely S.
PY - 2023
SP - 202
EP - 209
DO - 10.5220/0011728900003402