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Sim-2APL - A Practical Agent Programming Language for Simulation

Authors: Jan de Mooij; Davide Dell'Anna; Parantapa Bhattacharya; Mehdi Dastani; Brian Logan; Samarth Swarup;

Sim-2APL - A Practical Agent Programming Language for Simulation

Abstract

This is version 2.0.0 of Sim-2APL and represents the state of the code as used for the calibration and experiments reported in an upcoming article submission titled A Framework for Large-Scale Distributed Simulation with Complex Agents by the authors of this code repository. This version is tagged to maintain compatibility with the published release v2.0.0 in the COVID-19 simulation library library, which contains a simulation reported in the same article. Previous versions of this work have been used in the following publications: de Mooij, J., Dell’Anna, D., Bhattacharya, P., Dastani, M., Logan, B., & Swarup, S. (2021). Quantifying the effects of norms on COVID-19 cases using an agent-based simulation. In Proceedings of the The 22nd International Workshop on Multi-Agent-Based Simulation (MABS). [in press] Bhattacharya, P., de Mooij, A. J., Dell’Anna, D., Dastani, M., Logan, B., & Swarup, S. (2021). PanSim+ Sim-2APL: A framework for large-scale distributed simulation with complex agents. In International Workshop on Engineering Multi-Agent Systems. [in press]

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Keywords

Agent-based Simulation, Multi-agent systems, Multi-agent programming

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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