Neuron-like elements for modelling of social and economic problems

Large systems of analog elements are generally characterized by competition that in biological applications is referred to as lateral inhibition. It determines a non-trivial spatio-temporal dynamic behavior of such systems, reflecting multiple properties of real objects. In has been shown previously that the lateral inhibition of each element by the neighbouring ones was of two kinds. In one case it is described by the negative coefficients of interelement coupling, in the other by a decreasing response of each element to an extremely large number of active neighbors. Either of these inhibition types has its own peculiarities of spatio-temporal dynamics. This paper focuses on both kinds of response to neighbours as a characteristic relationship between the subjects of economic activity. It is important to analyze their joint effect, which has not been sufficiently studied so far. The authors consider a model of a distributed system of adaptive neuron-like elements, that reflects the basic behavioristic rules for related seller-buyer enterprises. The authors analyze likely cases of space structures in such a system and a possibility to use these models for treatment of specific behavior in real economic systems