Taking Agent-Based Social Simulation to the Next Level Using Exascale Computing: Potential Use-Cases, Capacity Requirements and Threats
Authors: 
Matt Hare, Doug Salt, Ric Colasanti, Richard Milton, Mike Batty, Alison Heppenstall, Gary PolhillAuthors Info & Claims
Pages 2300 - 2302
Abstract
Exascale computing (1018 FLOPS) officially arrived in 2022 when Oak Ridge's Frontier achieved that performance benchmark, and other countries seek their own exascale capabilities. High-end computing is typically used by the natural sciences, but empirical Agent-Based Social Simulation (ABSS) is a social science application. Empirical ABSS has a long history, but was prominent during the Covid crisis. In future crises, policy options could be evaluated within rapid policy design windows using exascale computing. We report on a group model-building exercise, co-constructing a causal loop model, to explore visions of the potential of exascale computing in ABSS, identifying potential use cases, capabilities, capacity requirements and threats.
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Index Terms
- Taking Agent-Based Social Simulation to the Next Level Using Exascale Computing: Potential Use-Cases, Capacity Requirements and Threats
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Information
Published In
May 2024
2898 pages
ISBN:9798400704864
- General Chairs:
- Mehdi Dastani,
- Jaime Simão Sichman,
- Program Chairs:
- Natasha Alechina,
- Virginia Dignum
Sponsors
Publisher
International Foundation for Autonomous Agents and Multiagent Systems
Richland, SC
Publication History
Published: 06 May 2024
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- Extended-abstract
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- Scottish Government Rural and Environment Science and Analytical Services Division
- Engineering and Physical Sciences Research Council
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AAMAS '24
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AAMAS '24: International Conference on Autonomous Agents and Multiagent Systems
May 6 - 10, 2024
Auckland, New Zealand
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