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Model of multi-agent interaction between financial service providers and consumers. / Malafeyev, Oleg; Zaitseva, Irina; Shkrabak, Vladimir; Shkrabak, Roman; Onishenko, Vladislav.

International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2019. ed. / Theodore E. Simos; Charalambos Tsitouras. American Institute of Physics, 2020. 420020 (AIP Conference Proceedings; Vol. 2293).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Harvard

Malafeyev, O, Zaitseva, I, Shkrabak, V, Shkrabak, R & Onishenko, V 2020, Model of multi-agent interaction between financial service providers and consumers. in TE Simos & C Tsitouras (eds), International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2019., 420020, 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/10.1063/5.0026852

APA

Malafeyev, O., Zaitseva, I., Shkrabak, V., Shkrabak, R., & Onishenko, V. (2020). Model of multi-agent interaction between financial service providers and consumers. In T. E. Simos, & C. Tsitouras (Eds.), International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2019 [420020] (AIP Conference Proceedings; Vol. 2293). American Institute of Physics. https://doi.org/10.1063/5.0026852

Vancouver

Malafeyev O, Zaitseva I, Shkrabak V, Shkrabak R, Onishenko V. Model of multi-agent interaction between financial service providers and consumers. In Simos TE, Tsitouras C, editors, International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2019. American Institute of Physics. 2020. 420020. (AIP Conference Proceedings). https://doi.org/10.1063/5.0026852

Author

Malafeyev, Oleg ; Zaitseva, Irina ; Shkrabak, Vladimir ; Shkrabak, Roman ; Onishenko, Vladislav. / Model of multi-agent interaction between financial service providers and consumers. 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{f3e73e4eb1dc4048b566559b3971b5af,
title = "Model of multi-agent interaction between financial service providers and consumers",
abstract = "Digital retail payments have evolved during the last years mostly due to technology innovations. New actors enter the payments market, increase competition and threaten banks' dominance. Consumers' behavior is critical within this context, since they are the ones that 1 finally adopt or reject a payment innovation. In this paper we propose a model of consumer behavior towards payment system selection based on multi-agent simulation. It is based on a multi-agent platform that models' consumers as intelligent agents and formats their behavior according to the rules extracted from past payments data, experts' knowledge and marketing research. Contributions from the social science and network economics also refine the agent's behavior in order to simulate accurately the domain. This paper presents the overall model and an initial analysis of payments domain, defining major actors in the domain and their interpretation to agents.",
author = "Oleg Malafeyev and Irina Zaitseva and Vladimir Shkrabak and Roman Shkrabak and Vladislav Onishenko",
note = "Funding Information: The work is partly supported by work RFBR No. 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 = "10.1063/5.0026852",
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 - Model of multi-agent interaction between financial service providers and consumers

AU - Malafeyev, Oleg

AU - Zaitseva, Irina

AU - Shkrabak, Vladimir

AU - Shkrabak, Roman

AU - Onishenko, Vladislav

N1 - Funding Information: The work is partly supported by work RFBR No. 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 - Digital retail payments have evolved during the last years mostly due to technology innovations. New actors enter the payments market, increase competition and threaten banks' dominance. Consumers' behavior is critical within this context, since they are the ones that 1 finally adopt or reject a payment innovation. In this paper we propose a model of consumer behavior towards payment system selection based on multi-agent simulation. It is based on a multi-agent platform that models' consumers as intelligent agents and formats their behavior according to the rules extracted from past payments data, experts' knowledge and marketing research. Contributions from the social science and network economics also refine the agent's behavior in order to simulate accurately the domain. This paper presents the overall model and an initial analysis of payments domain, defining major actors in the domain and their interpretation to agents.

AB - Digital retail payments have evolved during the last years mostly due to technology innovations. New actors enter the payments market, increase competition and threaten banks' dominance. Consumers' behavior is critical within this context, since they are the ones that 1 finally adopt or reject a payment innovation. In this paper we propose a model of consumer behavior towards payment system selection based on multi-agent simulation. It is based on a multi-agent platform that models' consumers as intelligent agents and formats their behavior according to the rules extracted from past payments data, experts' knowledge and marketing research. Contributions from the social science and network economics also refine the agent's behavior in order to simulate accurately the domain. This paper presents the overall model and an initial analysis of payments domain, defining major actors in the domain and their interpretation to agents.

UR - http://www.scopus.com/inward/record.url?scp=85097973305&partnerID=8YFLogxK

U2 - 10.1063/5.0026852

DO - 10.1063/5.0026852

M3 - Conference contribution

AN - SCOPUS:85097973305

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: 72678562