(Including but not limited to the following topics)
Track 1: Modeling and Analysis of Complex Systems
Complex system theory and methods
Complex network structure and dynamics
Nonlinear dynamics and chaos
Multi-agent system modeling
System robustness and stability analysis
System reliability modeling and evaluation
Complex system simulation and optimization
Information-physical system modeling
Social-technical system analysis
Complex system fault propagation and cascading failure
Complex system resilience analysis
System dynamics and feedback mechanisms
Data-driven modeling of complex systems
Complex system intelligent optimization algorithms
Track 2: Data Analysis and Intelligent Computing
Data mining and knowledge discovery
Machine learning and deep learning
Multi-source heterogeneous data fusion
Big data processing and cloud computing
Time series analysis and prediction
Graph data management and graph learning
Interpretable machine learning
Data-driven optimization algorithms
Reinforcement learning and sequential decision-making
Neural combinatorial optimization
Bayesian optimization and probabilistic reasoning
Large-scale data visualization
Complex system data analysis methods
Intelligent computing and complex network analysis
Track 3: Intelligent Decision-making and Optimization
Intelligent decision support systems
Multi-criteria decision analysis
Uncertainty decision-making and robust optimization
Data-driven decision paradigm
Risk decision-making and emergency management
Multi-agent collaborative decision-making
Game theory and mechanism design
Predictive decision modeling
Group consensus and preference analysis
Decision system integration and evaluation
Human-machine collaborative decision-making
Decision Intelligence and Automated Workflow
Complex System Decision Optimization Methods
Intelligent Decision Making and System Integration Applications