Neuro-symbolic artificial intelligence in collaborative decision support systems

The paper discusses the requirements for collaborative human-machine decision support systems and the problems that arise during their creation. The methods of neuro-symbolic artificial intelligence can help to resolve some of these problems. The analysis of modern results in the field of ontology-oriented neuro-symbolic artificial intelligence is carried out, primarily aimed at explaining neural network models using ontologies and using symbolic knowledge to improve the efficiency of neural network models. A conceptual model of a collaborative human-machine decision support system based on ontology-oriented neuro-symbolic intelligence is proposed.