Experimenting with Agent-Based Model Simulation Tools

نویسندگان

چکیده

Agent-based models (ABMs) are one of the most effective and successful methods for analyzing real-world complex systems by investigating how modeling interactions on individual level (i.e., micro-level) leads to understanding emergent phenomena system macro-level). ABMs represent an interdisciplinary approach examining systems, heterogeneous background ABM users demands comprehensive, easy-to-use, efficient environments develop simulations. Currently, many tools, frameworks, libraries exist, each with its characteristics objectives. This article aims guide newcomers in jungle tools toward choosing right tool their skills needs. work proposes a thorough overview open-source general-purpose offers comparison from two-fold perspective. We first describe off-the-shelf evaluation considering tool’s features, ease use, efficiency according authors. Then, we provide hands-on some judging effort required developing running four obtained performance.

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ژورنال

عنوان ژورنال: Applied sciences

سال: 2022

ISSN: ['2076-3417']

DOI: https://doi.org/10.3390/app13010013