mlsanityData to 7 Oct 2026

Artificial Intelligence and Modeling & Simulation: An Overview

arXiv 2608.00366 ↗First posted 1 Aug 2026cs.SE cs.AIcited by 0

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Abstract (arXiv)

Artificial intelligence (AI) and Modeling & Simulation (M&S) are increasingly intertwined, reflecting converging research needs across both communities, rapid technological advances such as the rise of generative AI, and the growing availability of data and computational resources. This report provides a structured overview of the intersections of AI and M&S. The relationship goes both ways: AI can support, augment, or even replace components of simulation studies, while simulations can serve as data generators, training environments, and evaluation platforms for AI. We organize this landscape along the stages of M&S from model specification and input modeling to execution, experimentation, verification and validation, and output analysis. Selected studies at each stage illustrates how techniques such as Large Language Models have reshaped simulation practices, while highlighting limitations and open challenges. This report also provides a conceptual roadmap that helps readers navigate a rapidly changing ecosystem.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 30 of its 125 references that are in the map. First posted on arXiv 1 Aug 2026.

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30 of 125 references.

References · 30

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18 more
  1. 2024S-NeRF++: Autonomous Driving Simulation via Neural Reconstruction and Generationcited by 28
  2. 2024Agent-Based Modelling Meets Generative AI in Social Network Simulationscited by 25
  3. 2024Learning Agent-based Modeling with LLM Companions: Experiences of Novices and Experts Using ChatGPT & NetLogo Chatcited by 23
  4. 2023GPT-Based Models Meet Simulation: How to Efficiently Use Large-Scale Pre-Trained Language Models Across Simulation Taskscited by 14
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  17. 2025Lost in the Pipeline: How Well Do Large Language Models Handle Data Preparation?cited by 1
  18. 2025Generative AI in Simulation-Based Test Environments for Large-Scale Cyber-Physical Systems: An Industrial Studycited by 1

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