Algorithms of the information stimulation system of Russian citizens’ socio-optimal actions

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. Conceptual model of the system is formed according to the conditions of individual rationality, Pareto efficiency, nonmanipulability and dynamic quasi-optimality. The algorithms of the information system are developed such as a process of step-by-step approximations. The system's criterion on each approximation does not decrease and the constraint on the stimulation fund is fulfilled.

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

“…Let the coefficient ak δ in the general population of agents (population) is a random variable [23] with a normal distribution law [21]:…”

“…On the base of this ideas an algorithm of the information system ( Fig. 1) was developed [21]. The algorithm satisfied the conditions of individual rationality, Pareto efficiency, non-manipulability and optimality by the collective utility criterion.…”

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

“…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.…”