Call for Papers: ANNSIM 2023

2023 ANNUAL MODELING AND SIMULATION CONFERENCE

MAY 23 - 26, 2023
MOHAWK COLLEGE, ONTARIO, CANADA, IN-PERSON CONFERENCE

CALL FOR PAPERS

The 2023 Annual Modeling and Simulation Conference (ANNSIM’23) is the annual flagship conference sponsored by The Society for Modeling and Simulation International (SCS), which covers state-of-the-art developments in Modeling & Simulation (M&S). ANNSIM’23 invites original contributions to the theory, methodology, and practice of modeling and simulation in any scientific or engineering discipline. The following is the list of main tracks at ANNSIM’23.

• Annual Simulation Symposium (ANSS)
• Cyber Physical Systems (CPS)
• Emerging Topic –Digital Twins (ET-DT)
• Humans, Societies and Artificial Agents (HSAA)
• Machine Learning and Simulation (ML&S)
• M&S in Cybersecurity (MSC)
• M&S in Medicine (MSM)Annual Simulation Symposium (ANSS)
• Cyber Physical Systems (CPS)
• Emerging Topic –Digital Twins (ET-DT)
• Humans, Societies and Artificial Agents (HSAA)
• Machine Learning and Simulation (ML&S)
• M&S in Cybersecurity (MSC)
• M&S in Medicine (MSM)
• Theory and Foundations for Modeling and Simulation (TMS)
• Simulation of Architecture and Urban Design (SimAUD)
• Sustainability and Energy Systems (S&ES)
• Symposium on Performance Evaluation of Computer and Telecommunication Systems/Communications and Network Simulation (SPECTS/CNS)
• Simulation Education and Simulation-Based Learning (SimEd)

Authors interested in other M&S topics are encouraged to submit their papers, which will be assigned to an appropriate track by the program chair. Choose the “Let Program Chair Decide” option in the submission system.
The conference includes keynote speeches presented by technology and industry leaders, technical sessions, and tutorials for professional development. Scientists, engineers, managers, educators, and business professionals who develop or use M&S methodologies and tools are invited to participate and present original contributions.

Technical papers: Original, high-quality technical papers are solicited for peer review, presentation, and subsequent publication in the conference proceedingsif accepted. Papers are max 12 pages long with single column format. Visit the Author Kit page for more information: https://scs.org/authorskit

Important Dates

• Paper Submission: January 29th, 2023 (Extended), 2023
• Author Notification: March 7th, 2023
• Camera-Ready Paper Submission: March 20th, 2023
• Conference: May 23-26, 2023

Machine Learning and Simulation (MLS)

Chair: Joon-Seok Kim, Co-Chair: Andreas Züfle

CALL FOR PAPERS

Modeling and simulation (M&S) have advanced our understanding of complex systems, have improved our ability to predict future states, and have been leveraged to prescribe (near-)optimal interventions and policies in many different application areas. In the enterprise of exploring such complex systems, artificial intelligence and machine learning (AI/ML) have the potential to improve our ability to optimize simulation parameters, to train agent/actor behavior throughout simulations, and to evolve the simulation environment based on observations. The vision of this track is to push the boundaries of human understanding by marrying M&S with AI/ML.
This Machine Learning and Simulation (MLS) track is a dedicated forum to exchange our views, ideas, research methods, and applications to resolve the scientific questions of what and how cutting-edge AI/ML methods can synergize M&S and vice versa. This track explores M&S practices to which AI/ML methods are applied such as knowledge reasoning, computer vision, natural language processing, deep learning, and reinforcement learning.
In this track, we are seeking papers on original contributions across all modes of M&S leveraging AI/ML and interdisciplinary contributions that advance the state of the arts in AI/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

Please visit the official web page (https://scs.org/annsim/) for full details on the conference and the submission procedure.
If you have any question about the Machine Learning and Simulation (MLS) track, please contact me.