Computer Science Methods for Effective and Sustainable Simulation Studies (Dagstuhl Seminar 22401)

Dagstuhl reports Pub Date : 2022-01-01 DOI:10.4230/DagRep.12.10.1

Wentong Cai, C. Carothers, D. Nicol, A. Uhrmacher

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Abstract

This report documents the program and the (preliminary) outcomes of Dagstuhl Seminar 22401 “Computer Science Methods for Effective and Sustainable Simulation Studies”. The seminar has been dedicated to addressing central methodological challenges in conducting effective and sustainable simulation studies. Lightning talks provided the opportunity for participants to present their current research and ideas to advance methodological research in modeling and simulation. However, the lion’s share of the seminar was dedicated to working groups. One working group investigated how machine learning and modeling and simulation can be effectively integrated (Intelligent Modeling and Simulation Lifecycle). Another working group focused on methodological challenges to support policy via simulation (Policy by simulation: seeing is believing for interactive model co-creation and effective intervention). A third working group identified 4 challenges closely tied to the quest for sustainable simulation studies (Context, composition, automation, and communication – towards sustainable simulation studies) thereby, focusing on the role of model-based approaches and related methods. Seminar October 3–7, 2022 – http://www.dagstuhl.de/22401 2012 ACM Subject Classification Computing methodologies

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有效和可持续模拟研究的计算机科学方法(Dagstuhl Seminar 22401)

本报告记录了Dagstuhl研讨会22401“有效和可持续模拟研究的计算机科学方法”的计划和(初步)成果。该研讨会致力于解决在进行有效和可持续的模拟研究方面的主要方法挑战。闪电会谈为与会者提供了展示他们目前的研究和想法的机会，以推进建模和仿真的方法研究。然而，研讨会的大部分内容都是关于工作组的。一个工作组研究了如何将机器学习与建模和仿真有效地集成(智能建模和仿真生命周期)。另一个工作组侧重于通过模拟支持政策的方法挑战(模拟政策:眼见为实的交互式模型共同创造和有效干预)。第三个工作组确定了与寻求可持续仿真研究密切相关的4个挑战(环境、组成、自动化和通信——走向可持续仿真研究)，从而重点关注基于模型的方法和相关方法的作用。研讨会，2022年10月3-7日- http://www.dagstuhl.de/22401 2012 ACM主题分类计算方法

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