AI Open

AI Open is a freely accessible platform to share actionable knowledge and forward-thinking perspectives on the theory of artificial intelligence and its applications. The journal welcomes research articles, review papers, perspectives, short communications and technical notes on all aspects of artificial intelligence and its applications.

Topics covered include, but are not limited to:

Deep learning and representation learning

Graph theory and graph mining

Constraints, satisfiability, and search

Knowledge representation, reasoning, and logic

Machine learning and data mining

Knowledge graph and applications

Agent-based and multi-agent systems

Web and knowledge-based information systems

Natural language processing

Image processing and analysis

Uncertainty

Brain-based Learning

Implicit Cognition and Learning