Simulation Study
Simulation studies encompass the use of computational models to investigate complex systems and processes across diverse scientific domains. Current research emphasizes developing sophisticated models, including deep neural networks, agent-based models, and generative models, to enhance realism, efficiency, and the ability to handle large-scale datasets. These studies are crucial for testing hypotheses, optimizing designs, and predicting outcomes in scenarios ranging from weather forecasting and traffic flow to robotic control and drug discovery, ultimately advancing scientific understanding and informing practical applications. The increasing integration of large language models further expands the scope and accessibility of simulation studies.
Papers
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference
Paul E. Chang, Nasrulloh Loka, Daolang Huang, Ulpu Remes, Samuel Kaski, Luigi Acerbi
Large Language Models for Autonomous Driving (LLM4AD): Concept, Benchmark, Simulation, and Real-Vehicle Experiment
Can Cui, Yunsheng Ma, Zichong Yang, Yupeng Zhou, Peiran Liu, Juanwu Lu, Lingxi Li, Yaobin Chen, Jitesh H. Panchal, Amr Abdelraouf, Rohit Gupta, Kyungtae Han, Ziran Wang
Game Theory with Simulation in the Presence of Unpredictable Randomisation
Vojtech Kovarik, Nathaniel Sauerberg, Lewis Hammond, Vincent Conitzer
SRAP-Agent: Simulating and Optimizing Scarce Resource Allocation Policy with LLM-based Agent
Jiarui Ji, Yang Li, Hongtao Liu, Zhicheng Du, Zhewei Wei, Weiran Shen, Qi Qi, Yankai Lin
Large Legislative Models: Towards Efficient AI Policymaking in Economic Simulations
Henry Gasztowtt, Benjamin Smith, Vincent Zhu, Qinxun Bai, Edwin Zhang
TRIAGE: Ethical Benchmarking of AI Models Through Mass Casualty Simulations
Nathalie Maria Kirch, Konstantin Hebenstreit, Matthias Samwald
Metamizer: a versatile neural optimizer for fast and accurate physics simulations
Nils Wandel, Stefan Schulz, Reinhard Klein
The Patterns of Life Human Mobility Simulation
Hossein Amiri, Will Kohn, Shiyang Ruan, Joon-Seok Kim, Hamdi Kavak, Andrew Crooks, Dieter Pfoser, Carola Wenk, Andreas Zufle
Inferring Thunderstorm Occurrence from Vertical Profiles of Convection-Permitting Simulations: Physical Insights from a Physical Deep Learning Model
Kianusch Vahid Yousefnia, Tobias Bölle, Christoph Metzl
Modular Autonomous Vehicle in Heterogeneous Traffic Flow: Modeling, Simulation, and Implication
Lanhang Ye, Toshiyuki Yamamoto
FactorSim: Generative Simulation via Factorized Representation
Fan-Yun Sun, S. I. Harini, Angela Yi, Yihan Zhou, Alex Zook, Jonathan Tremblay, Logan Cross, Jiajun Wu, Nick Haber
Fine Manipulation Using a Tactile Skin: Learning in Simulation and Sim-to-Real Transfer
Ulf Kasolowsky, Berthold Bäuml
Model calibration using a parallel differential evolution algorithm in computational neuroscience: simulation of stretch induced nerve deficit
Antonio LaTorre, Man Ting Kwong, Julián A. García-Grajales, Riyi Shi, Antoine Jérusalem, José-María Peña