Formation of Investment Behavior Strategy using the Game-theoretic Method

This work is aimed at developing the behavior strategy of an economic entity involved in investment activities using the game-theoretic method. To build a qualitative model, the authors considered the economic aspects of game theory and developed an algorithm for adopting the game-theoretic criteria to investment planning. The authors analyzed the investment portfolios available for business entities on the Russian market to test the model. The outcome of the article is the formation of the authors’ approach to rationalizing the behavior of an economic entity in the course of investment activities. A practical example is given in which the suggested method is used when various investment portfolios are available. The approach was tested to prove that it can be practically applied and further used in the construction of investment strategies.

A method of counteracting Byzantine robots with a random behavior strategy during collective design-making in swarm robotic systems

The active introduction of robotics swarm systems into life brings the issues of their information security up to date. Known security approaches often do not take into account the peculiarities of the implementation of swarm systems, such as collective design-making, and only consider the presence of Byzantine robots with a strategy of behavior consisting in voting against a majority when a consensus is reached. The aim of this work is to increase the security of the collective design-making process in a swarm robotics system from the imposition of false and ineffective alternatives by Byzantine robots with a random behavior strategy. It is proposed to use an approach based on the use of a distributed ledger and analysis of deviations in the process of collective design-making, which will allow identifying and isolating harmful effects. The solution to the problem of detecting Byzantine robots is based on the application of the criterion of the degree of confidence of a robot in choosing an alternative when a consensus is reached by the swarm system and is based on the assumption that the distribution of the degree of confidence of a Byzantine robot due to ignoring the parameters of the external environment and voting for random alternatives is significantly different from the behavior an ordinary robot. The elements of novelty of the presented solution include the use of the degree of confidence criterion to ensure the safety of collective design-making and the ability to take into account various strategies of behavior of Byzantine robots. The use of the presented solution makes it possible to increase the efficiency of reaching consensus by a swarm robotics system in the presence of Byzantine robots. The simulation for a swarm of 20 robots, including 5 Byzantine ones with random behavior, showed an increase in the probability of correctly reaching a consensus by 12.5%. The practical significance of the presented solutions lies in the possibility of ensuring the stability of reaching consensus by a swarm robotics system in the presence of robots with harmful behavior.

The Role Of Valwes In Forming The Identity of Migrants

The results of our study showed that the lower the level of national identity, the greater the opportunity for migrants to choose a marginal adaptation strategy. This behavior strategy leads to dissatisfaction, social and psychological safety of the migrant. Having lost the values of their culture, the migrant loses an adequate standard “image of the world”, which underlies the adaptation of the individual to the social environment.