6 - 8 October 2022

Varna, Bulgaria

Sponsored by: John Atanasoff Society of Automatics and Informatics

Technically supported by: Technical University of Varna, IEEE by Bulgarian section, Federation of the Scientific Engineering Unions, Laboratory of Telematics - BAS .


The International Conference Automatics and Informatics (ICAI) traditionally is held under the patronage of the President of the Republic of Bulgaria during the John Atanasoff days in October every year. The conference has 55 years of history and has significantly contributed to the development of automation and computer technology in Bulgaria.

Since 2020 conference organizers are the John Atanasoff Society of Automatics and Informatics, Technical University of Varna, IEEE by Bulgarian section and Federation of the Scientific Engineering Unions in Bulgaria. The conference program for ICAI’22 includes: Plenary session, Invited symposia and Workshops, Scientific sessions, Young researchers school, Poster session and Company presentations and Exhibitions.The purpose of the conference is to bring together international researchers and industrial practitioners interested in the development and implementation of modern technologies for automation, information, computer science, artificial intelligence and others.

The organizing committee of the conference is inviting interested researchers and professionals to submit papers describing significant scientific achievements and innovations in all scientific areas of the conference.


Congratulations from the President of the Republic of Bulgaria

in Bulgarian

in English


Integration of Decision Making and Control Systems


The work examines the main aspects of the integration of decision making (DM) processes and the management of systems (control systems, CS) in modern objects with great complexity and complexity from the perspective of effective application of artificial intelligence methods using data flow. The DM procedure is treated in the light of modern settings and requirements for successful functioning under difficult to overcome conditions such as great uncertainty, scarcity and low quality of data, multicriteria, stochasticity, significant limitations, variability of structures and parameters. Particular attention is paid to the need to increasingly involve machine methods in hybrid decision making (DM). The solution of the DM task is treated as an optimization problem that can be solved by different formal, heuristic and hybrid methods depending on the context, existing experience and knowledge, available resources – cost, time, qualification. Special attention is paid to DM and CS approaches in centralized, decentralized and distributed site structures. The wide range of possibilities for the application of technologies based on artificial intelligence and the perspective of their application are indicated.

Key Words: artificial intelligence, control systems, data-driven process, decision making, human-machine interaction, optimization.