Topics of interest include, but are not limited to:

Brain models / cognitive science
Natural language processing
Fuzzy logic and soft computing
Software tools for AI
Expert systems
Decision support systems
Automated problem solving
Knowledge discovery
Knowledge representation
Knowledge acquisition
Knowledge-intensive problem solving techniques
Knowledge networks and management
Intelligent information systems
Intelligent data mining and farming
Intelligent web-based business
Intelligent agents
Intelligent networks
Intelligent databases
Intelligent user interface
AI and evolutionary algorithms
Intelligent tutoring systems
Reasoning strategies
Distributed AI algorithms and techniques
Distributed AI systems and architectures
Neural networks and applications
Heuristic searching methods
Languages and programming techniques for AI
Constraint-based reasoning and constraint programming
Intelligent information fusion
Learning and adaptive sensor fusion
Search and meta-heuristics
Multi-sensor data fusion using neural and fuzzy techniques
Integration of AI with other technologies
Evaluation of AI tools
Social intelligence (markets and computational societies)
Social impact of AI
Applications (including: computer vision, signal processing, military, surveillance, robotics, medicine, pattern recognition, face recognition, finger print recognition, finance and marketing, stock market, education, emerging applications, ...)


BEST PAPER AWARD

A number of best papers will be selected and given awards at the conference. These papers will also be considered for publication in GSTF International Journal on Computing (JoC) and other international refereed Journals.

In order to qualify for the award, at least one of the authors will need to present at the conference.

NOTES FOR AUTHORS

All submitted papers will be sent to reviewers for a blind review. The reviewers use the following in evaluating research papers:

Novel Contribution
Originality in Thought
Inferences
Key Strengths
Key Weaknesses
Areas of Improvement
Presentation/Organization of Research