Track 1. Foundations of Intelligent Systems:
 Artificial Intelligence Theories
 Intelligent System Models
 Logic, Reasoning & Problem Solving
 Multi-Agent Systems
 Soft Computing and Fuzzy Systems
 Case-Based Reasoning, Neural Networks
 Probabilistic Reasoning
 Search, Optimization and Planning
 Genetic and Swarm Computing
 Pattern Recognition
 Speech Recognition
 Computer Vision
 Machine Learning
 Biological Inspired Computation
 Game Theory
 Computational Intelligence
 Image/Video Processing
 Computer Vision and Brain-Computer Interface
 Cognitive Systems and Information processing
 Computational Neurosciencen)
 

 Track 3. Knowledge Engineering and Management:
 Knowledge Representation and Modeling
 Knowledge Maintenance; Knowledge Elicitation
 Knowledge-Based Systems
 Expert Systems or Decision Support Systems
 Content Management and Knowledge Management Systems
 Workflow Management Systems
 Business Process Reengineering
 Ontology Engineering (Modeling, Mapping, Integration)
 Data Mining and Knowledge Discovery
 Natural Language Processing
 Text Mining, Classification and Summarization
 Textual Entailment; Question Answering Systems
 Document Preparation and Text Processing
 Language Translation and Linguistics
 Information Storage, Annotation and Retrieval
 Unstructured and Semi-Structured Data Retrieval
 Data Simulation, Modeling, and Visualization
 Information and Knowledge Integration (Semantic Web; SOA, XML and  Business  Process Integration)