George Mason University, Fairfax, Virginia, USA, July 19-22, 2021
The Annual Modeling and Simulation Conference (ANNSIM) is a new annual conference of the Society for Modeling and Simulation International (SCS) after merging SpringSim and SummerSim into a single conference starting in 2021. Built on strengths of SpringSim and SummerSim, ANNSIM 2021 is the flagship conference of SCS to cover state-of-the-art developments in Modeling & Simulation (M&S). We invite original contributions to the theory and practice of modeling and simulation in all scientific and engineering disciplines. The conference is organized around a set of technical tracks that include:
- AI and Simulation (AIS)
- Annual Simulation Symposium (ANSS)
- Communications and Network Simulation (CNS)
- Cyber Physical Systems (CPS)
- Emerging Topic – Aspects of Pandemic Modeling (ET-APM)
- High Performance Computing and Simulation (HPC)
- Humans, Societies and Artificial Agents (HSAA)
- M&S based Systems Engineering (MSBSE)
- M&S for Smart Energy Systems (MSSES)
- M&S in Cyber Security (MSCS)
- M&S in Medicine (MSM)
- Theory and Foundations for Modeling and Simulation (TMS)
ANNSIM 2021 will be a hybrid conference accommodating both physical and virtual participations. The physical venue of the conference will be in George Mason University (Fairfax Campus), Fairfax, VA, USA. The conference includes keynote speeches presented by technology and industry leaders, technical sessions, as well as professional development tutorials. Scientists, engineers, managers, educators, and business professionals who develop or use M&S methodologies and tools are invited to participate and present original contributions. All accepted research papers will be included in the conference proceedings and archived in the ACM Digital Library, IEEE Xplore (approval pending), and will be indexed in DBLP Computer Science Bibliography and SCOPUS. Best papers will also be considered for a special issue of SIMULATION: Transactions of the Society for Modeling and Simulation International.
Besides technical papers, submissions of the following types of contributions and/or proposals are also welcome:
- Tutorials (max 2 hours). A tutorial proposal includes a tutorial description (max 2 pages) to be submitted to the tutorial track. In addition, a tutorial may submit a full paper to one of the technical tracks. The full paper will go through a review process and be included in the conference proceedings if accepted.
- Extended abstracts (max 2 pages)
- Live demonstrations to be given during the conference
Please visit https://scs.org/annsim/ for full details on conference submission procedure.
- Tutorial proposal submission: January 22, 2021
- Paper submission: March 1, 2021
- Author notification: April 30, 2021
- Camera-ready paper submission: May 17, 2021
- Conference dates: July 19-22, 2021
AI and Simulation (AIS) Track
Chair: Joon-Seok Kim, George Mason University, USA
Co-chair: Andreas Züfle, George Mason University, USA
Aims and Scope
Modeling and simulation (M&S) have advanced our understanding of complex systems and our controls over them in different areas. In the enterprise of exploring such complex systems, artificial intelligence (AI) and machine learning (ML) are a transformative technology shaping our knowledge and facilitating navigation in unconquered, unexplored, unknown frontiers. To push the boundaries of human understanding, marrying M&S with AI and ML is ineluctable and visionary. Leveraging the best of our knowledge of AI and ML allows us to accelerate, enhance, and delineate M&S.
This AI and Simulation (AIS) track is a dedicated forum to exchange our views, ideas, research methods, and applications to resolve the scientific question of what and how cutting-edge AI and ML methods can synergize M&S and vice versa. This track explorers M&S practices to which AI and ML methods are applied such as knowledge reasoning, computer vision, natural language processing, deep learning, and reinforcement learning.
In this track, we are seeking full papers (up to 12 pages) on original contributions across all modes of M&S leveraging AI and ML and interdisciplinary contributions that advance the state of the arts in AI and ML. This track will use the traditional format of having oral paper presentations. Topics of interest include, but not limited to:
- Advancing validation and verification (V&V) using AI and ML
- AI and ML methods for training and evolving agents
- Best practices of convergence of AI and Simulation
- Empirical comparisons of state-of-the-art AI and ML methods in M&S
- Facilitating experimentation using AI and ML
- M&S to improve AI and ML solutions
- Simulation modeling tools and methods based on AI and ML
- Simulation optimization using AI and ML
- Visionary methodology of AI and ML in simulation
If you have any questions regarding the AI and Simulation (AIS) track, please feel free to contact me.