Hybrid Intelligent Multi-agent System for Power Restoration

Functional structure of reflexive-active systems of artificial heterogeneous intelligent agents

“…Practical studies [4,5,7] of problems arising, in particular, when managing objects of transport logistics, power systems, medicine and other areas, showed the presence of such problem's properties as weak formalization, complex structure, heterogeneity, network nature of conditions and goals, significant opacity (uncertainty) and dynamism [8]. These properties of practical problems predetermine the following design principles of RASAHIA, which, in general, are consistent with the principles of system analysis, general systems theory, synergetics and the construction of reflexive-active environments for innovative development:…”

“…Pospelov identified it as one of the ten hot spots in artificial intelligence research, on which, according to the author, the efforts of specialists will be concentrated in the next 10 years [1]. However, despite active research in this area at these years, for example, [2][3][4][5], the problem of relevant modeling these processes is far from being solved. The reason for this, obviously, lies in the complexity of computer modeling of both the reasoning of individual team members in all their diversity, and the processes, phenomena and effects that arise at the macro level during their interaction while solving problems.…”