The purpose of the group is to research the processes of self-organization, self-replication, self-regeneration and evolution of various kinds of systems. Particular attention is paid to problems to the establishment of mechanisms of occurrence and sustainable development of systems whose dynamics similar behavior of living organisms (Life-Like Systems). The main instrument for research is computer simulation of systems with using multi-agent approach (Multiagent Systems). As agents mainly used movable cellular automata. Rules of inter-automaton interactions describes the simulated system at the micro level, and the implementation of these interactions generates the appropriate macro-dynamics. If, for example, the dynamics of model shows the ability to self-replicate, then can talk about some model of artificial life. If the model provides  self-organization of  some threads of information  signals in the system (for example recognition of irritants), can talk about elementary model of artificial intelligence.

Group working in following four areas:

1. Research of general questions of theory self-organizing systems (synergetics).

2. Modeling of processes of self-organization and evolution lowest possible analogues unicellular living organisms capable to self-replication

3. Modeling of processes of self-organization and evolution of elementary analogs of multicellular living organisms.

4. Simulation of self-organization flows signals in the nervous subsystem organisms

Group brings together specialists from different scientific interests (physicists, biologists, mathematicians, software engineers, etc.), that highlights its interdisciplinary nature. The results, except to the fundamental philosophical and natural knowledge may be useful in many application problems – from the self-assembly of nanoscale objects for self-learning artificial intelligence systems; from self-organized of evolutionary processes, to automated systems best adapted for social, economic, political and other structures.