TY - JOUR

T1 - Simulation of multi-agent interaction between mobile operators and users

AU - Zaitseva, I. V.

AU - Malafeyev, O. A.

AU - Kefeli, I. F.

AU - Poddubnaya, N. V.

AU - Shuvaev, A. V.

N1 - Funding Information: The work is partially supported by the RFBR grant # 18-01-00796. Publisher Copyright: © 2020 Published under licence by IOP Publishing Ltd. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2020/7/7

Y1 - 2020/7/7

N2 - Game-theoretic models for two classes of players are considered in this paper. The first class will consist of mobile operators, who, based on information about competitors' actions, will plan changes in prices for services. The second class will consist of dedicated user cohorts who, depending on the current situation, will plan their actions, namely, change or not change the operator. The presented models solve the problem of maximizing the income of mobile operators and minimizing the cost of communication by users. A turn-based game is considered where a possible strategy for a first-class player will be considered a non-zero price vector for the provided communication services. A possible strategy for a second-class player will be considered the sequence of choosing a mobile operator for each of the services. The payoff function of both classes players will be built at each stage. According to the winnings, there is a compromise solution for different classes of players.

AB - Game-theoretic models for two classes of players are considered in this paper. The first class will consist of mobile operators, who, based on information about competitors' actions, will plan changes in prices for services. The second class will consist of dedicated user cohorts who, depending on the current situation, will plan their actions, namely, change or not change the operator. The presented models solve the problem of maximizing the income of mobile operators and minimizing the cost of communication by users. A turn-based game is considered where a possible strategy for a first-class player will be considered a non-zero price vector for the provided communication services. A possible strategy for a second-class player will be considered the sequence of choosing a mobile operator for each of the services. The payoff function of both classes players will be built at each stage. According to the winnings, there is a compromise solution for different classes of players.

KW - game tree

KW - Game-theoretic model

KW - mobile communication

KW - multi-agent interaction

KW - operator

KW - user

UR - http://www.scopus.com/inward/record.url?scp=85089542560&partnerID=8YFLogxK

U2 - 10.1088/1757-899X/873/1/012038

DO - 10.1088/1757-899X/873/1/012038

M3 - Conference article

AN - SCOPUS:85089542560

VL - 873

JO - IOP Conference Series: Materials Science and Engineering

JF - IOP Conference Series: Materials Science and Engineering

SN - 1757-8981

IS - 1

M1 - 012038

T2 - 1st International Conference on Innovative Informational and Engineering Technologies, IIET 2020

Y2 - 28 May 2020 through 29 May 2020

ER -