Amaç

The journal of Advances in Artificial Intelligence Research (AAIR) is an international and interdisciplinary scholarly open access journal. Our aim is to encourage scientists to publish their experimental and theoretical research in as much detail as possible about Artificial Intelligence(AI). Full experimental details and/or study methods must be provided for research articles so that the results can be reproduced. Papers describing applications of AI are also welcome, but the focus should be on how new and novel AI methods advance performance in application areas, rather than a presentation of yet another application of conventional AI methods. Papers on applications should describe a principled solution, emphasize its novelty, and present an in-depth evaluation of the AI techniques being exploited.

Kapsam

AAIR welcomes papers on broad aspects of Artificial Intelligence (AI) that constitute advances in the overall field including, but not limited to, cognition and AI. AAIR covers all areas of artificial intelligence (AI), publishing refereed research articles, survey articles, and technical notes. Apart from regular papers, the journal also accepts Research Notes, Research Field Reviews, Position Papers, and Book Reviews. The journal will also consider summary papers that describe challenges and competitions from various areas of AI. Such papers should motivate and describe the competition design as well as report and interpret competition results, with an emphasis on insights that are of value beyond the competition (series) itself.

• AI Theory
• AI Technique
• AI Application
• Intelligent machine/agent
• Knowledge representation
• Knowledge reasoning
• Machine learning
• Computer vision
• Planning
• Robotics
• Natural language processing
• Artificial neural networks
• Evolutionary computing
• Probabilistics computing
• Genetic algorithms
• Fuzzy logic
• Expert systems


Other Keywords: Deep learning; reinforcement learning; machine perception; machine recognition; computer algorithms; automated reasoning and inference; case-based reasoning; reasoning under uncertainty; knowledge engineering; multi-agent planning; multi-agent systems; automated planning and scheduling; information retrieval; text mining; question answering; machine translation; smart computer programs; AI software development; heuristic search; human interfaces; intelligent robotics; motion and manipulation; affective computing; robotic systems; neuromorphic computing; human–machine interaction; multi-sensor; ethical machines; artificial consciousness; robot rights; AI logistics; AI automotive; data mining; AI medical diagnosis; AI healthcare; big data; AI military; etc.