Organization as a Multi-level Design Pattern for Agent-based Simulation of Complex Systems

This paper describes a generic design pattern to introduce organizational mechanisms into multi-level agentbased simulation architectures, to help the modelling of highly structured complex systems. This pattern makes it possible to specify how to couple any three levels of agents in a multi-level simulation architecture, through their relationships to environments, taking into account organizational constraints. As a proof of concept, we applied this pattern to the fine-grained modelling of batch management in pig farms, and illustrate how the pattern can be instantiated and composed at several agent levels to accurately handle a complex organization in time and space. We thus demonstrate the benefits of combining organizational concepts and multi-level patterns to represent and simulate complex dynamic systems.

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Organization as a Multi-level Design Pattern for Agent-based Simulation of Complex Systems

Semantic Scholar · Engineering · 2021

Abstract

This paper describes a generic design pattern to introduce organizational mechanisms into multi-level agentbased simulation architectures, to help the modelling of highly structured complex systems. This pattern makes it possible to specify how to couple any three levels of agents in a multi-level simulation architecture, through their relationships to environments, taking into account organizational constraints. As a proof of concept, we applied this pattern to the fine-grained modelling of batch management in pig farms, and illustrate how the pattern can be instantiated and composed at several agent levels to accurately handle a complex organization in time and space. We thus demonstrate the benefits of combining organizational concepts and multi-level patterns to represent and simulate complex dynamic systems.

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