TY - GEN
T1 - PanSim + Sim-2APL
T2 - 9th International Workshop on Engineering Multi-Agent Systems, EMAS 2021
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.
PY - 2022
Y1 - 2022
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.
KW - Agent-based simulation
KW - Distributed simulation
KW - Social simulation
UR - http://www.scopus.com/inward/record.url?scp=85127062575&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-97457-2_1
DO - 10.1007/978-3-030-97457-2_1
M3 - Conference contribution
AN - SCOPUS:85127062575
SN - 9783030974565
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 1
EP - 21
BT - Engineering Multi-Agent Systems - 9th International Workshop, EMAS 2021, Revised Selected Papers
A2 - Alechina, Natasha
A2 - Baldoni, Matteo
A2 - Logan, Brian
PB - Springer
Y2 - 3 May 2021 through 4 May 2021
ER -