The 15th International Conference on Hybrid Artificial Intelligence Systems (HAIS’20) combines symbolic and sub-symbolic techniques to construct more robust and reliable problem solving models. Hybrid intelligent systems are popular due to their capabilities in handling many real world complex problems, involving imprecision, uncertainty and vagueness, high-dimensionality. They provide us with the opportunity to use both, our knowledge and row data to solve problems in a more interesting and promising way.
HAIS Series of Conferences provides an interesting opportunity to present and discuss the latest theoretical advances and real-world applications in this multidisciplinary research field.
Topics are encouraged, but not limited to, the combination of at least two of the following areas in the field of Hybrid Intelligent Systems:
Fusion of soft computing and hard computing
Case base reasoning
Data mining and decision support systems
Big Data modeling and visualization
Intelligent agent-based systems
Cognitive and Reactive distributed AI systems
Intelligent Human Interfacing
IoT and Intelligent Cloud/Fog Computing
Computation in Bio-Medicine
Intelligent Time Series processing
Applications in real world scenarios include mining engineering, security, prediction, control, robotics, image and speech signal processing, bioinformatics, biology and medicine, business and management, knowledge management, artificial societies, chemicals, pharmaceuticals, food industry, geographic information systems, materials and environment engineering and so on.