PanSim + Sim-2APL: A Framework for Large-Scale Distributed Simulation with Complex Agents
Publication date
2022
Authors
Bhattacharya, Parantapa
de Mooij, Jan
Dell’Anna, Davide
Dastani, Mehdi
Logan, Brian
Swarup, Samarth
Editors
Alechina, Natasha
Baldoni, Matteo
Logan, Brian
Advisors
Supervisors
Document Type
Part of book
Metadata
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License
taverne
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, Taverne, Theoretical Computer Science, General Computer Science
Citation
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. 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, conference