Aims and Scope
International Journal of Artificial Intelligence and Machine Learning publishes broad spectrum of scientific and technical papers to reflect the evolving needs of the artificial intelligence, machine learning and neural networks engineers. The journal aims to provide a high profile, leading edge forum for academic researchers, industrial professionals, engineers, consultants, and policy makers working in the field to contribute and disseminate innovative ideas on all aspects of artificial intelligence, machine learning and neural networks.
The journal covers all topics of artificial intelligence, machine learning and neural networks including but not limited to:
| Automated reasoning |
Human machine interaction |
| Cognitive intelligence and modeling |
Hybridization of intelligent models |
| Computational Intelligence |
Intelligent and learning theory |
| Data and web mining |
Intelligent mapping, localization and tracking |
| Deep learning |
Learning algorithms |
| Evolutionary and swarm algorithms |
Machine Learning |
| Evolutionary robotics |
Multi-agent systems and simulation |
| Fuzzy Logic |
Neural computing |
| Genetic Algorithms |
Neural Networks |
