The article "Solving complex problems on a multi-agent platform", co-authored by Aytaj Mustafazade, a junior researcher of the Laboratory of Intelligent Information Processing Systems of the Institute of Control Systems (ICS), was published in the 30th volume of the reputable Italian scientific journal Annali d'Italia.

The article deals with the issue of diagnosis and prognosis of occupational diseases in the oil and petrochemical industry. Since the issue of diagnosis and prognosis of occupational diseases in the oil and petrochemical industry is multi-parameter and multi-factorial, it is advisable to break it down into interrelated and non-conflict classes, to approach it from the perspective of distributed systems and databases, to apply multi-agent systems.

The problem in the article is considered from the multiagent aspect, concrete examples are given, the main factors necessary for diagnosing and predicting occupational diseases are taken into account and a conceptual model is proposed. The agents involved in the system and their characteristics, roles, relations between the agents are touched upon, and a brief fragment of software is given.