PanSim + Sim-2APL: A Framework for Large-Scale Distributed Simulation with Complex Agents

Parantapa Bhattacharya; A. Jan de Mooij; Davide Dell’Anna; Mehdi Dastani; Brian Logan; Samarth Swarup

doi:10.1007/978-3-030-97457-2_1

PanSim + Sim-2APL: A Framework for Large-Scale Distributed Simulation with Complex Agents

Parantapa Bhattacharya^*, A. Jan de Mooij, Davide Dell’Anna, Mehdi Dastani, Brian Logan, Samarth Swarup

^*Corresponding author for this work

University of Virginia

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

Agent-based simulation is increasingly being used to model social phenomena involving large numbers of agents. However, existing agent-based simulation platforms severely limit the kinds of the social phenomena that can modeled, as they do not support large scale simulations involving agents with complex behaviors. In this paper, we present a scalable agent-based simulation framework that supports modeling of complex social phenomena. The framework integrates a new simulation platform that exploits distributed computer architectures, with an extension of a multi-agent programming technology that allows development of complex deliberative agents. To show the scalability of our framework, we briefly describe its application to the development of a model of the spread of COVID-19 involving complex deliberative agents in the US state of Virginia.

Original language	English
Title of host publication	Engineering Multi-Agent Systems - 9th International Workshop, EMAS 2021, Revised Selected Papers
Editors	Natasha Alechina, Matteo Baldoni, Brian Logan
Publisher	Springer
Pages	1-21
Number of pages	21
ISBN (Print)	9783030974565
DOIs	https://doi.org/10.1007/978-3-030-97457-2_1
Publication status	Published - 2022
Event	9th International Workshop on Engineering Multi-Agent Systems, EMAS 2021 - London, United Kingdom Duration: 3 May 2021 → 4 May 2021

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13190 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	9th International Workshop on Engineering Multi-Agent Systems, EMAS 2021
Country/Territory	United Kingdom
City	London
Period	3/05/21 → 4/05/21

Bibliographical note

Funding Information:
Acknowledgments. Parantapa Bhattacharya and Samarth Swarup were supported in part by NSF Expeditions in Computing Grant CCF-1918656 and DTRA subcontract/ARA S-D00189-15-TO-01-UVA.

Publisher Copyright:
© 2022, Springer Nature Switzerland AG.

Funding

Acknowledgments. Parantapa Bhattacharya and Samarth Swarup were supported in part by NSF Expeditions in Computing Grant CCF-1918656 and DTRA subcontract/ARA S-D00189-15-TO-01-UVA.

Keywords

Agent-based simulation
Distributed simulation
Social simulation

Access to Document

10.1007/978-3-030-97457-2_1

978-3-030-97457-2_1Final published version, 859 KBLicence: Taverne

Cite this

Bhattacharya, P., de Mooij, A. J., Dell’Anna, D., Dastani, M., Logan, B., & Swarup, S. (2022). PanSim + Sim-2APL: A Framework for Large-Scale Distributed Simulation with Complex Agents. In N. Alechina, M. Baldoni, & B. Logan (Eds.), Engineering Multi-Agent Systems - 9th International Workshop, EMAS 2021, Revised Selected Papers (pp. 1-21). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13190 LNAI). Springer. https://doi.org/10.1007/978-3-030-97457-2_1

Bhattacharya, Parantapa ; de Mooij, A. Jan ; Dell’Anna, Davide et al. / PanSim + Sim-2APL : A Framework for Large-Scale Distributed Simulation with Complex Agents. Engineering Multi-Agent Systems - 9th International Workshop, EMAS 2021, Revised Selected Papers. editor / Natasha Alechina ; Matteo Baldoni ; Brian Logan. Springer, 2022. pp. 1-21 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Agent-based simulation is increasingly being used to model social phenomena involving large numbers of agents. However, existing agent-based simulation platforms severely limit the kinds of the social phenomena that can modeled, as they do not support large scale simulations involving agents with complex behaviors. In this paper, we present a scalable agent-based simulation framework that supports modeling of complex social phenomena. The framework integrates a new simulation platform that exploits distributed computer architectures, with an extension of a multi-agent programming technology that allows development of complex deliberative agents. To show the scalability of our framework, we briefly describe its application to the development of a model of the spread of COVID-19 involving complex deliberative agents in the US state of Virginia.",

keywords = "Agent-based simulation, Distributed simulation, Social simulation",

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note = "Funding Information: Acknowledgments. Parantapa Bhattacharya and Samarth Swarup were supported in part by NSF Expeditions in Computing Grant CCF-1918656 and DTRA subcontract/ARA S-D00189-15-TO-01-UVA. Publisher Copyright: {\textcopyright} 2022, Springer Nature Switzerland AG.; 9th International Workshop on Engineering Multi-Agent Systems, EMAS 2021 ; Conference date: 03-05-2021 Through 04-05-2021",

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Bhattacharya, P, de Mooij, AJ , Dell’Anna, D , Dastani, M , Logan, B & Swarup, S 2022, PanSim + Sim-2APL: A Framework for Large-Scale Distributed Simulation with Complex Agents. in N Alechina, M Baldoni & B Logan (eds), Engineering Multi-Agent Systems - 9th International Workshop, EMAS 2021, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13190 LNAI, Springer, pp. 1-21, 9th International Workshop on Engineering Multi-Agent Systems, EMAS 2021, London, United Kingdom, 3/05/21. https://doi.org/10.1007/978-3-030-97457-2_1

PanSim + Sim-2APL: A Framework for Large-Scale Distributed Simulation with Complex Agents. / Bhattacharya, Parantapa; de Mooij, A. Jan ; Dell’Anna, Davide et al.
Engineering Multi-Agent Systems - 9th International Workshop, EMAS 2021, Revised Selected Papers. ed. / Natasha Alechina; Matteo Baldoni; Brian Logan. Springer, 2022. p. 1-21 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13190 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

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AU - Bhattacharya, Parantapa

AU - de Mooij, A. Jan

AU - Dell’Anna, Davide

AU - Dastani, Mehdi

AU - Logan, Brian

AU - Swarup, Samarth

N1 - Funding Information: Acknowledgments. Parantapa Bhattacharya and Samarth Swarup were supported in part by NSF Expeditions in Computing Grant CCF-1918656 and DTRA subcontract/ARA S-D00189-15-TO-01-UVA. Publisher Copyright: © 2022, Springer Nature Switzerland AG.

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N2 - Agent-based simulation is increasingly being used to model social phenomena involving large numbers of agents. However, existing agent-based simulation platforms severely limit the kinds of the social phenomena that can modeled, as they do not support large scale simulations involving agents with complex behaviors. In this paper, we present a scalable agent-based simulation framework that supports modeling of complex social phenomena. The framework integrates a new simulation platform that exploits distributed computer architectures, with an extension of a multi-agent programming technology that allows development of complex deliberative agents. To show the scalability of our framework, we briefly describe its application to the development of a model of the spread of COVID-19 involving complex deliberative agents in the US state of Virginia.

AB - Agent-based simulation is increasingly being used to model social phenomena involving large numbers of agents. However, existing agent-based simulation platforms severely limit the kinds of the social phenomena that can modeled, as they do not support large scale simulations involving agents with complex behaviors. In this paper, we present a scalable agent-based simulation framework that supports modeling of complex social phenomena. The framework integrates a new simulation platform that exploits distributed computer architectures, with an extension of a multi-agent programming technology that allows development of complex deliberative agents. To show the scalability of our framework, we briefly describe its application to the development of a model of the spread of COVID-19 involving complex deliberative agents in the US state of Virginia.

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KW - Social simulation

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Engineering Multi-Agent Systems - 9th International Workshop, EMAS 2021, Revised Selected Papers

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A2 - Logan, Brian

PB - Springer

Y2 - 3 May 2021 through 4 May 2021

ER -

Bhattacharya P, de Mooij AJ , Dell’Anna D , Dastani M , Logan B, Swarup S. PanSim + Sim-2APL: A Framework for Large-Scale Distributed Simulation with Complex Agents. In Alechina N, Baldoni M, Logan B, editors, Engineering Multi-Agent Systems - 9th International Workshop, EMAS 2021, Revised Selected Papers. Springer. 2022. p. 1-21. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-97457-2_1

PanSim + Sim-2APL: A Framework for Large-Scale Distributed Simulation with Complex Agents

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Keywords

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