Canadian Journal on Artificial Intelligence, Machine Learning and Pattern Recognition is an open access journal encompasses contents artificial intelligence, machine learning and pattern recognition. It aims at disseminating original research and practical systems contribution in form of research papers, tutorials, survey articles for engineers, researchers and scientist in industry and academia.

Canadian Journal on Artificial Intelligence, Machine Learning and Pattern Recognition includes topics but not limited to: key application areas of Artificial Intelligence, novel applications of AI, machine learning strategies, multistrategy and cognitive learning, web intelligence, semantic webs, discovery science, knowledge mining, agents, multiagent based systems, modern knowledge based systems, neural network systems, fuzzy systems, applications of AI, machine learning and pattern recognition in all sub-domains of computer sciences and electrical engineering. Proposals for special editions are welcomed.