Topics of Conference

The main topics include but will not be limited to (Excellent surveying works in these areas are welcome, too.)

AI and Evolutionary Algorithms

Algebraic Biology

Ant colony optimization

Applications in Bioinformatics

Approximate Reasoning

Architectures of Intelligent Systems

Aspects of knowledge structures

Aspects of natural language processing

Aspects of text technology

Automated problem solving

Bayesian methods

Bioinformatics and computational biology

Biological network analysis

Biostatistics

Brain models / cognitive science

Combining multiple knowledge sources in an integrated intelligent system

Computational Science

Constraint-based reasoning and constraint programming

Cross-Entropy method

Data Mining

Decision support systems

Constructions technology economy and management

Contracting and Legal Issues

Data Sensing and Analysis

Decision Support Systems

Distributed AI algorithms and Techniques

Emerging Technologies

Evaluation of AI tools

Evolutionary Computation

Expert systems

Fuzzy logic, modeling, control and soft computing

Gaussian graphical models

General issues in graph and tree mining

Grammatical inference

Granular Computing

Graph learning based on graph grammars

Heuristic optimization techniques

Hierarchical learning models

High-throughput data analysis

Hybrid Intelligent Systems

Image processing and understanding (interpretation)

Inductive learning and applications

Information-theoretical approaches to graphs

Integration of AI with other technologies

Intelligent agents

Intelligent databases

Intelligent information fusion

Knowledge acquisition and discovery techniques

Knowledge networks and management

Knowledge-intensive problem solving techniques

Languages and programming techniques for AI

Learning and adaptive sensor fusion

Machine learning

Markov chain Monte Carlo (MCMC) methods

Meta learning

Motif search

Multi-criteria reinforcement learning

Multiple hypothesis testing

Multisensor data fusion using neural and fuzzy techniques

Natural language processing

Nature Inspired Methods

Neural networks and applications

Real-world applications of Intelligent Systems

Particle filter

Reasoning strategies

Reinforcement learning

Robotics

Search and meta-heuristics

Simulated annealing

Social intelligence (markets and computational societies)

Statistical learning theory

Stochastic optimization

Supervised and unsupervised classification of web data

Time series prediction

Topics on satisfiability

Unsupervised and Supervised Learning

Web Mining