learning Journals

Connection Science is an interdisciplinary scientific and technical journal that has, since 1989, been a focus for research on connectionist modelling and neural network learning in both living and artificial systems with an emphasis on cognition and AI. Papers on these traditional themes are still strongly encouraged. However, in 2002, in response to exciting new work in evolutionary methods and adaptive robotics, its scope was broadened to include computational research on all biologically inspired adaptive... Read more

This leading international journal promotes and stimulates research in the field of artificial intelligence (AI). Covering a wide range of issues - from the tools and languages of AI to its philosophical implications - Computational Intelligence provides a vigorous forum for the publication of both experimental and theoretical research, as well as surveys and impact studies. The journal is designed to meet the needs of a wide range of AI workers in academic and industrial... Read more

The journal publishes original articles about significant AI theory and applications based on the most up-to-date research in all branches and phases of engineering. Suitable topics include: analysis and evaluation; selection; configuration and design; manufacturing and assembly; and concurrent engineering. AI EDAM is also interested in original, major applications of state-of-the-art knowledge-based techniques to important engineering problems. Read more

Annals of Mathematics and Artificial Intelligence presents a range of topics of concern to scholars applying quantitative, combinatorial, logical, algebraic and algorithmic methods to diverse areas of Artificial Intelligence, from decision support, automated deduction, and reasoning, to knowledge-based systems, machine learning, computer vision, robotics and planning. Read more