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Modeling multi-agent interaction between labor market participants. / Malafeyev, Oleg; Zaitseva, Irina; Abdullaev, Jabir; Bondar, Victoria; Skvortsova, Olga.

International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2019. ed. / Theodore E. Simos; Charalambos Tsitouras. American Institute of Physics, 2020. 420011 (AIP Conference Proceedings; Vol. 2293).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Malafeyev, O, Zaitseva, I, Abdullaev, J, Bondar, V & Skvortsova, O 2020, Modeling multi-agent interaction between labor market participants. in TE Simos & C Tsitouras (eds), International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2019., 420011, AIP Conference Proceedings, vol. 2293, American Institute of Physics, International Conference on Numerical Analysis and Applied Mathematics 2019, ICNAAM 2019, Rhodes, Greece, 23/09/19. https://doi.org/10.1063/5.0026846

APA

Malafeyev, O., Zaitseva, I., Abdullaev, J., Bondar, V., & Skvortsova, O. (2020). Modeling multi-agent interaction between labor market participants. In T. E. Simos, & C. Tsitouras (Eds.), International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2019 [420011] (AIP Conference Proceedings; Vol. 2293). American Institute of Physics. https://doi.org/10.1063/5.0026846

Vancouver

Malafeyev O, Zaitseva I, Abdullaev J, Bondar V, Skvortsova O. Modeling multi-agent interaction between labor market participants. In Simos TE, Tsitouras C, editors, International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2019. American Institute of Physics. 2020. 420011. (AIP Conference Proceedings). https://doi.org/10.1063/5.0026846

Author

Malafeyev, Oleg ; Zaitseva, Irina ; Abdullaev, Jabir ; Bondar, Victoria ; Skvortsova, Olga. / Modeling multi-agent interaction between labor market participants. International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2019. editor / Theodore E. Simos ; Charalambos Tsitouras. American Institute of Physics, 2020. (AIP Conference Proceedings).

BibTeX

@inproceedings{cd092965082b4f4d9631391d0a4b617b,
title = "Modeling multi-agent interaction between labor market participants",
abstract = "This paper discusses a dynamic model of multi-agent interaction between the employing company and employees of different qualifications. The task is formalized as a game with n participants. Several employer firms simultaneously employ a finite number of employees. The usefulness of acquired employees by the firm in each separate period depends on its non-stationary utility function. It is assumed that the conditions of the game allow cooperative actions of participants and the redistribution of income between them. In addition, employee acquisition conditions may change over time. Thus, in the task of global maximization for T periods, employer firms should save some of their resources for some periods of time in order to use them in later periods of time. In this paper, an algorithm for finding a compromise solution is constructed and an example is given.",
keywords = "Employee, Employer, Firm, Labor market, Modeling, Multi-agent interaction",
author = "Oleg Malafeyev and Irina Zaitseva and Jabir Abdullaev and Victoria Bondar and Olga Skvortsova",
note = "Funding Information: The work is partially supported by the RFBR grant # 18-01-00796 Publisher Copyright: {\textcopyright} 2020 American Institute of Physics Inc.. All rights reserved. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; International Conference on Numerical Analysis and Applied Mathematics 2019, ICNAAM 2019 ; Conference date: 23-09-2019 Through 28-09-2019",
year = "2020",
month = nov,
day = "24",
doi = "10.1063/5.0026846",
language = "English",
series = "AIP Conference Proceedings",
publisher = "American Institute of Physics",
editor = "Simos, {Theodore E.} and Charalambos Tsitouras",
booktitle = "International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2019",
address = "United States",

}

RIS

TY - GEN

T1 - Modeling multi-agent interaction between labor market participants

AU - Malafeyev, Oleg

AU - Zaitseva, Irina

AU - Abdullaev, Jabir

AU - Bondar, Victoria

AU - Skvortsova, Olga

N1 - Funding Information: The work is partially supported by the RFBR grant # 18-01-00796 Publisher Copyright: © 2020 American Institute of Physics Inc.. All rights reserved. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2020/11/24

Y1 - 2020/11/24

N2 - This paper discusses a dynamic model of multi-agent interaction between the employing company and employees of different qualifications. The task is formalized as a game with n participants. Several employer firms simultaneously employ a finite number of employees. The usefulness of acquired employees by the firm in each separate period depends on its non-stationary utility function. It is assumed that the conditions of the game allow cooperative actions of participants and the redistribution of income between them. In addition, employee acquisition conditions may change over time. Thus, in the task of global maximization for T periods, employer firms should save some of their resources for some periods of time in order to use them in later periods of time. In this paper, an algorithm for finding a compromise solution is constructed and an example is given.

AB - This paper discusses a dynamic model of multi-agent interaction between the employing company and employees of different qualifications. The task is formalized as a game with n participants. Several employer firms simultaneously employ a finite number of employees. The usefulness of acquired employees by the firm in each separate period depends on its non-stationary utility function. It is assumed that the conditions of the game allow cooperative actions of participants and the redistribution of income between them. In addition, employee acquisition conditions may change over time. Thus, in the task of global maximization for T periods, employer firms should save some of their resources for some periods of time in order to use them in later periods of time. In this paper, an algorithm for finding a compromise solution is constructed and an example is given.

KW - Employee

KW - Employer

KW - Firm

KW - Labor market

KW - Modeling

KW - Multi-agent interaction

UR - http://www.scopus.com/inward/record.url?scp=85098002470&partnerID=8YFLogxK

U2 - 10.1063/5.0026846

DO - 10.1063/5.0026846

M3 - Conference contribution

AN - SCOPUS:85098002470

T3 - AIP Conference Proceedings

BT - International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2019

A2 - Simos, Theodore E.

A2 - Tsitouras, Charalambos

PB - American Institute of Physics

T2 - International Conference on Numerical Analysis and Applied Mathematics 2019, ICNAAM 2019

Y2 - 23 September 2019 through 28 September 2019

ER -

ID: 72677934