The paper presents the results of research carried out to solve complex problems aimed at the efficient use of natural and energy resources. The objectives of the paper are achieved by identifying the control process based on a Multi-Agent system with distributed data processing that implements a Multi-objective optimal solution search model based on the application of a Genetic Algorithm with Collective Computation. The set of Agents presents a computational architecture that forms a structured network topology based on a P-Systems model presented in the form of a Venn diagram. The Object diagram and the Venn diagram of the P-Systems model are presented in the paper. The correctness of the developed models was verified on the basis of a control system of the artificial lighting process that provides for the minimization of energy consumption, while ensuring the quality of the lighting process.

The development and research of Smart City Service Systems is a very important area for the future of mankind. The urbanization process imposes new criteria for qualitative and quantitative assessment of population well-being, which will involve processing a very large volume of information, organizing the data exchange and processing. This paper proposes a Multi-Agent Smart City Services system based on Spatial-Temporal logic. In order to optimize the criteria for the qualitative and quantitative evaluation of services, the set of agents is divided into: the subset of agents that deliver services and the subset of service consumers agents. The system diagram, the synthesis of the agents, the operators of temporal and spatial logic was elaborated. The relationship between the subset of service delivery agents and the subset of agents of service consumers is determined by game theory models.

In this paper are presented the results of research done in the system projecting and research for making informed decisions based on the collaborative Agents. The mathematical model used in this research had the goal to find an optimal solution in a multi-objective space by using methods inspired by nature, especially evolutional calculus algorithms. The calculus system’s architecture consists of two sets of Agents: agents that deliver data and information, and Agents that consume it. The interconnection process between Agents is a dynamic one which evolves in time and it determines the topology of the calculus system.

The article analyses the implementation of the dual study model for higher education at the Technical University of Moldova. This goal was one of the basic ones within the Erasmus+ COOPERA project "Integrating Dual Higher Education in Moldova and Ukraine". The development vision and needs of the national economy define the leading arguments for the pilot programs at the Technical University of Moldova. The faculty team proposes a Dual higher education model appropriate for students from two engineering programs. The model specifies the roles of the student, university and company in dual education and the benefits of all involved actors. In the designing phase of the project, the teaching staff consult students, company administrators and specialists to fit all interests into one joint model and curricula.

This paper deals with a synthesis method of membrane computer systems inspired from the biological cells structure. The functional concept of the computer system is based on the internal structure, chemical transformations and the way of interaction between living cells. Thus, the computer system is composed of a set of autonomous, homogeneous or heterogeneous computing cells, which communicate with each other in synchronous or asynchronous mode. The algorithmic complexity of the solved problem depends on the knowledge gained, the rules of data processing and the computer system topology. It is proposed the sequence of operations for the synthesis of membrane computer systems with implementation in reconfigurable FPGA architectures which includes: analysis of behavioural models of living organisms and their interpretation in artificial intelligence models; structure and functional description of the computing cell; cell modelling and performance evaluation using Petri nets; Van diagram of the membrane computer system topology; formal description of the membrane computer system topology by applying the JSON formatting language; validation, functional modelling and performance evaluation of the membrane computer system topology using Petri nets; Hardware Description Language (HDL) code of the cell from which the principle electrical diagram and the time diagrams are obtained; implementation of the computer system in the FPGA circuit.