(Including but not limited to the following topics)
Track 1: Artificial Intelligence
Artificial Intelligence Algorithms
Fuzzy Logic
Hardware and Software Architecture
Intelligent System Architecture
Environmental Intelligence
Knowledge-Based Systems Knowledge Management
Automatic programming
Artificial neural networks
Evolutionary algorithms
Reinforcement learning
Application of AI in robots and mechatronic systems
Computational intelligence
Soft computing theory and applications
Hybrid intelligent systems
Intelligent systems
Ubiquitous computing and environmental intelligence
Pattern recognition
Artificial intelligence tools
Track 2: Intelligent algorithms
Algorithm optimization
Sorting algorithms, search algorithms
Graph exploration algorithms
Numerical analysis
Fuzzy computing
Distributed systems
Edge computing, mobile computing
High-performance and grid computing
Computability theory Software Engineering
Quantum computing and quantum algorithms
Neural architecture search (NAS)
Track 3: Automated decision-making
Digital intelligence integration
Complex information decision-making process
Probabilistic preference decision-making
Hesitant fuzzy decision-making
Intuitive fuzzy information fusion
Decision support system
Multi-attribute decision-making
Group decision-making and game theory
Large-scale multi-agent collaborative decision-making and task allocation
Risk-sensitive decision-making, uncertainty quantification and robust control
Human-machine collaborative decision-making, intention understanding and shared control
Recommendation systems, personalized services and dynamic pricing strategies
Intelligent scheduling, resource allocation and operational optimization systems
Financial intelligent trading, risk control decision-making and credit assessment
System integration of automated decision-making in intelligent manufacturing and smart cities ......