Analysis of the influence of citizens’ altruism on the effectiveness of the socially-optimal actions stimulation system

Abstract

The problem of the development of the state information stimulation system of Russian citizens' socio-optimal actions is considered according to the optimum of collective utility function as criterion. The algorithm of the information system is formed taking into account the conditions of individual rationality, Pareto efficiency and non-manipulability. The algorithm for analyzing the effect of various functions of the probability distribution density of the altruism degree of Russian citizens on the effectiveness of the system for stimulating socially-optimal actions is developed. The simulation of social groups behavior, covering more than ten percent of Russia's economically active population, is confirmed the stability of the stimulation system for citizens' opportunistic behavior.

Game-theoretic model of wide social groups’ behavior with stimulation of volunteering activities

“…1 In the case of these conditions, the system of equations We simulate the equilibrium (11) using the example of the social groups of Russian volunteers (Table 1) The model of the probability distribution of volunteers according to the "charitable" time has the form of the normal law with certain values of the kurtosis and the asymmetry [7]:…”

“…The interconnection algorithms of the stimulation system and the information system [6,7] enable to solve the problems of personalized registration of citizens' actions, the distribution of the state incentive fund, the monitoring of the of the stimulation effectiveness.…”

“…MSRD is not applicable in a system with independent and simultaneous agents' actions, because the MSRD implies the sequential registration of the agent' actions and the distribution of incentives. Therefore, we use the compensatory linearly decreasing stimulation function, for which these conditions were proved [6,7]. The simulation of the social management [16,17] on the basis of the large groups of population demonstrated the effectiveness of this approach.…”