License to Simulate: When Agent-Based Models Are More Fiction Than Function

Description

Dataset provided with the manuscript entitled: "License to Simulate: When Agent-Based Models Are More Fiction Than Function". The research hypothesis is the potential misuse of Agent-based simulation models. To address this gap, we report in this dataset a systematic review of 58 academic contributions to evaluate the extent to which Agent-based models applied to supply chain contexts adhere to the fundamental principles of agent-based simulation. Specifically, the reviewed works were classified into two categories: Green Flag models, representing coherent and appropriate implementations of Agent-based models, and Red Flag models, which fail to capture the essential characteristics of agent-based simulation. The classification was based on key discriminating factors such as the type and number of simulated entities or agents, the nature of agent interactions, and the incorporation of system-level dynamics. The main sheet reports the 1. Green/Red label we assigned to each analysed manuscript, 2. Authors, 3. Publication year, and 4. Title of the reviewed paper, 5. Industrial sector in which the model is deployed, 6. Context and Objective of the simulation, 7. Motivation for using Agent-Based Simulation, 8. Simulation objects involved, 9. (possible) System dynamics (triggered by the simulation), 10. Direct/Indirect Interactions between agents, 11. A corresponding Label (assigned to 10.), and 12. our Notes.

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