AI-Empowered Modeling and Simulation for Complex Systems
A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Complex Systems".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 41
Special Issue Editors
Interests: computational social science; digital economy
Interests: multi-agent systemsmachine learningdata miningartificial intelligence
Interests: computational social science; social simulation; agent-based modeling
Interests: decision science; Industry Internet; supply chain management; blockchain and fintech; agent-based modeling and simulation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
AI has emerged as a transformative force revolutionizing various fields, including modeling and simulation of complex systems. Complex systems, such as ecological networks, financial markets, and social dynamics, pose significant challenges in understanding, predicting, and optimizing processes within these systems. AI techniques, particularly those applied in large language models, have shown remarkable capabilities in handling the inherent complexity and nonlinearity of complex systems. Utilizing AI for modeling and simulation, researchers can develop more accurate predictions and gain deeper insights into the behavior of these systems. Furthermore, AI algorithms can optimize system performance, identify critical factors, and even suggest interventions to improve system outcomes.
This Special Issue provides a timely platform for the readers of Systems to showcase their latest advancements in AI-based modeling and simulation techniques for complex systems and their applications. It aims to bring together diverse perspectives, innovative methodologies, and practical applications, fostering collaborations and knowledge exchange among the community. By highlighting the latest research and developments, this Special Issue will contribute significantly to advancing the field of AI-empowered modeling and simulation, leading to better understanding, prediction, and optimization of complex systems. Moreover, the Special Issue is a valuable resource for academics, industry professionals, and policymakers, providing insights and guidance on how AI can be effectively leveraged to address real-world challenges associated with complex systems.
We welcome submissions from a wide range of domains, including but not limited to the topics in the following part:
- Large language models in simulation;
- AI-driven system modeling;
- Complex system dynamics simulation;
- Hybrid AI–physics modeling;
- Deep learning in modeling and simulation;
- Reinforcement learning for system control;
- Natural language processing in system analysis;
- Predictive modeling with AI;
- AI-enhanced simulation accuracy;
- Real-time simulation with AI
- AI for multi-scale modeling;
- Data-driven modeling techniques;
- AI in risk assessment and prediction;
- Agent-based modeling with AI;
- AI for complex network modeling.
Dr. Hang Xiong
Dr. Quan Bai
Prof. Dr. Peng Lv
Dr. Zhou He
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Systems is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- AI-driven system modeling
- complex system dynamics simulation
- predictive modeling with AI
- data-driven modeling techniques
- AI in risk assessment and prediction
- agent-based modeling with AI
- AI for complex network modeling etc.
