THE SIMPLEST, BUT NO SIMPLER, AGENT-BASED MODEL

In this paper, we describe what we believe to be the simplest agent-based model. More specifically we define the class of the simplest agent-based simulation model formulations, referred to as SABM. We describe the nine essential elements of agent-based simulation models in the class SABM and give an example of such a model. We find that the simplest ABM formulation provides a basis for a transparent, compact and elegant description of agent-based modeling. The design illustrates the essential characteristics of agent-based modelling as a field of research and application and facilitates the explanation of agent-based modeling. We hope that the simplest formulation demystifies agent-based modeling for those within the simulation community, as well as those new to the field such as researchers from other disciplines and application communities.

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Published
2025-03-20
DOI
https://doi.org/10.36819/sw25.023
Primary Topic
Modeling, Simulation, and Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

THE SIMPLEST, BUT NO SIMPLER, AGENT-BASED MODEL

Charles Macal
Modeling, Simulation, and Optimization
article

THE SIMPLEST, BUT NO SIMPLER, AGENT-BASED MODEL

Charles Macal
article en

Abstract

In this paper, we describe what we believe to be the simplest agent-based model. More specifically we define the class of the simplest agent-based simulation model formulations, referred to as SABM. We describe the nine essential elements of agent-based simulation models in the class SABM and give an example of such a model. We find that the simplest ABM formulation provides a basis for a transparent, compact and elegant description of agent-based modeling. The design illustrates the essential characteristics of agent-based modelling as a field of research and application and facilitates the explanation of agent-based modeling. We hope that the simplest formulation demystifies agent-based modeling for those within the simulation community, as well as those new to the field such as researchers from other disciplines and application communities.

Argonne National Laboratory (US)
U.S. Department of Energy, Office of Science
Openalex Percentile: Top 91%
Modeling, Simulation, and Optimization
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THE SIMPLEST, BUT NO SIMPLER, AGENT-BASED MODEL — Charles Macal · (2025) | TGRS Research Map | TGRS