Department of Evolving Intelligent Systems

Acting Head of department, Researcher:

The history of the Department dates back to 1980, when, by Order No. 333 of the Ministry of the Communications Equipment Industry of the USSR dated July 17, 1980, Sectoral Laboratory No. 412 was established within the Division of Cybernetic Engineering of the Institute of Cybernetics of the Academy of Sciences of the Ukrainian SSR. On February 10, 1981, Department No. 205, “Microprocessor Engineering,” was established on the basis of this laboratory. The Department was headed by O. V. Palagin.

The first stage of the Department’s activity was associated with the development of domestic microprocessors and microcomputers of the “Elektronika-S5” and “Neuron” series. During this period, the scientific foundations for designing the architecture of microprocessor systems were developed, including the internal language of the microprocessor, emulation modes of operation, microprogram control systems, and the multi-operation organization of computations. These results formed the basis of the logical-informational method for designing the architecture and structure of microprocessor systems, further developed by Academician of the National Academy of Sciences of Ukraine O. V. Palagin.

Subsequently, the Department’s research focus naturally expanded from microprocessor engineering to computer systems with reconfigurable architecture, ontology-driven systems, intelligent information technologies, knowledge representation tools, and adaptive organization of computational processes.

The Department’s current research activities build on established scientific traditions in the fields of evolutionary cybernetics, artificial intelligence, systems analysis, and computer science. The object of research is evolving intelligent systems characterized by variable architecture, memory mechanisms, adaptive behavior, the capacity for structural reconfiguration, and dependence on a dynamic environment.

The Department focuses primarily on developing mathematical and computational models of such systems and on studying their controllability, stability, robustness, and behavior in precritical regimes. A separate research direction concerns methods of evolutionary control, metacontrol, adaptive reconfiguration, prediction of operating regimes, and decision support under conditions of structural change and uncertainty.

Thus, the Department’s current profile represents a logical continuation of research in the architecture of computing systems, reconfigurable computing environments, and intelligent information technologies. At the same time, it is directed toward the formation of theoretical, model-based, and instrumental foundations for the study of complex evolving intelligent systems.

Official website of the Department: www.dep205.org 

The Department employs 32 staff members, including one Academician of the National Academy of Sciences of Ukraine, 5 Doctors of Sciences, and 11 Candidates of Sciences.

Відділ еволюціонуючих інтелектуальних систем

MAIN RESEARCH AREAS

  • development of the theoretical foundations of evolutionary cybernetics and artificial intelligence for the formal description of intelligent systems capable of modifying their structure, operating regimes, adaptation mechanisms, and modes of interaction with the environment;

  • mathematical and computational modeling of evolving intelligent systems with variable architecture, memory, adaptive behavior, mechanisms for knowledge representation, accumulation, and use, as well as dependence on a dynamic environment;

  • investigation of methods for evolutionary control, metacontrol, adaptive reconfiguration, and selection of admissible developmental trajectories of complex intelligent systems;

  • analysis of stability, controllability, reachability, robustness, structural destabilization, and precritical regimes of complex systems with variable architecture;

  • development of artificial intelligence, machine learning, and data analysis methods for predicting operating regimes, detecting structural changes, assessing loss of controllability, and supporting decision-making;

  • creation of digital models, algorithms, simulation environments, and software tools for the study of multi-agent, networked, distributed, and autonomous intelligent systems;

  • development of fundamental areas of computer science as a theoretical basis for the study of evolving intelligent systems.

MAJOR RESULTS

Fundamental Results

  • the main principles of machine algebra were formulated as an axiomatic theory with the necessary conditions for organizing computational processes in digital signal processing systems;

  • a formalized representation of integration technologies within intelligent networks was developed;

  • an approach was proposed for synthesizing the most essential constructive features of the structure of a system of scientific theories within the framework of contemporary advances in logical-epistemological and linguistic research;

  • a conceptual model and general design principles were developed for a linguistic-ontological information system with a partially formalized representation of knowledge contained in natural-language texts;

  • the foundations of the theory of transdisciplinary scientific research were developed.

Applied Results

  • a family of the first serially produced domestic microcomputers in the USSR, the “Elektronika-S5” series, was developed in cooperation with the Svetlana Research and Production Association;

  • serial microcomputers of the “Neuron” family were developed in cooperation with the S. P. Korolev Research and Production Association;

  • the “Interferometer” digital low-frequency acoustic measurement system was created for the China Shipbuilding Systems Engineering Institute, Beijing;

  • a class of interactive intelligent terminals based on “electronic combine” technology was developed;

  • technology and hardware-software tools for reconfigurable processing were created;

  • a standard automated environmental monitoring system for the city of Kyiv was developed and implemented;

  • a concept and architecture were developed for the creation of virtual scientific and scientific-educational centers based on the principles of interaction among highly organized distributed information systems in a network operating environment;

  • technology and hardware-software tools for reconfigurable processing were created, and a dynamically reconfigurable system for designing FPGA-based digital devices was developed.