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June 7, 2026ACM Transactions on Modeling and Computer Simulation

A Framework for Efficient Individual-Level Longitudinal Outcomes Estimation for Agent-Based Simulations

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Authors

SDSoham DasVRVarun RamamohanPCParmeet Chani

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Overview

Randomized trial estimates individual-level outcomes in agent-based models, suggesting improvements in computational efficiency.

Key Points

  • This paper aims to provide efficient methods for estimating individual-level longitudinal outcomes in agent-based models, specifically in the context of infectious disease transmission.
  • Presents two methods for outcome estimation: outcomes accumulation and allocation (OAA) and sample path-based sampling and allocation (SPSA).
  • Tests methods using an agent-based model of hepatitis C virus spread in India.
  • Compares runtime and outcome distributions between OAA, SPSA, and a benchmark accumulation-only approach.
  • OAA approach runtime is approximately 60% of the benchmark method.
  • SPSA approach runtime is around 33% of the benchmark method.
  • Both OAA and SPSA yield comparable outcome distributions and expectations to the benchmark method.

Cite This Study

Das et al. (2026) studied this question.

synapsesocial.com/papers/6a250b707def13d035e1b679https://doi.org/10.1145/3816154
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