Multi-agent model of trust dissemination based on optimistic and pessimistic fuzzy aggregation norms
Aleksandra Mrela, Oleksandr Sokolov, Maryla Bieniek-Majka, Veslava Osinksa, Wlodzislaw Duch
Citation: Proceedings of the 17th Conference on Computer Science and Intelligence Systems, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 30, pages 741–744 (2022)
Abstract. Companies and even institutions have recently tried to form a reasonable opinion about their products. One way companies can achieve this is to prepare and distribute advertisements. Some advertising media, such as TV commercials, are costly and tiresome, so understanding and modeling some aspects of disseminating product information might be helpful. The article presents a multi-agent model of spreading trust in the product among agents based on fuzzy aggregation norms. When people with a similar opinion about a product discuss it with others or listen to a commercial, their trust increases, so the optimistic fuzzy aggregation norm is applied. When people with different opinions meet, their faith decreases, so the pessimistic norm is applied. In addition, the paper presents a theoretical example of this model application, namely, showing the results of a multi-agent model of spreading confidence in the product and presenting the results of the NetLogo simulation.
- A. Martinez, B. Vazquez, H. Estrada, L. Santillan and Zavalaet, “Incorporating technology in service-oriented i* business models: a case study”, Information Systems and e-Business Management, 15, 2017, pp. 461, https://doi.org/10.1007/s10257-016-0316-9
- K. Borodako, J. Berbeka and M. Rudnicki, “Technology used in knowledge management by global professional event services”, JGIM, vol. 29, no. 1, 2021, pp. 145-163. http://doi.org/10.4018/JGIM.2021010108
- Y. S. Lee Y. S and R. Sikora, “Application of adaptive strategy for supply chain agent”, Information Systems and e-Business Management, 17, 2019, p. 117, https://doi.org/10.1007/s10257-018-0378-y
- J. Jin, C. Song, J. Li, K. Gai, J. Wang and W. Zhang, “Real-time bidding with multi-agent reinforcement learning in display advertising”, CIKM ’18: Proceedings of the 27th ACM International Conference on Information and Knowledge Management, October 2018, pp. 2193–2201, https://doi.org/10.1145/3269206.3272021
- A. Falkowski and A. Grochowska, “Influence of emotions on the evaluation and memory of advertising: Research in the paradigm of retrospective memory shaping”, Roczniki Psychologiczne, vol. XI, 2, 2008, pp. 107–136, [in Polish].
- L. Zadeh, “Fuzzy sets”, Information and Control, vol. 8, 1965, pp. 338-353, https://doi.org/10.1016/S0019-9958(65)90241-X
- M. Dorigo, “Ant colony optimization”, T. Stutzle, Cambridge, Mass., MIT Press, ISBN 0-262-04219-3, OCLC 57182707, 2004.
- K. Kubiak, “Selected socio-cultural concepts as a tool for analyzing advertising messages”, in: K. Kubiak (ed.), “Social engineering advertising”, Wyzsza Szkola Promocji, Mediow i Show Businessu, Warszawa, 2016, pp. 38–60, [in Polish].
- J. Petrykowska, “Ways of influencing the recipients of social advertis- ing”, Acta Universitatis Nicolai Copernici, Zarzadzanie XL - Zeszyt 413, Torun, 2013, pp. 39–46, [in Polish].
- E. Sanecka, “Psychological mechanisms of the impact of advertising and manipulation in advertising”, 2010, http://www.publikacje.edu.pl/pdf/10023.pdf, [in Polish]
- B. Pilarczyk, “Innovations in marketing communication”, Zeszyty Naukowe PTE, 9, Kraków, 2011, pp. 271–286 [in Polish].
- R. A. King, P. Racherla and V. D. Bush, “What we know and what don’t know about online word of mouth: A review and synthesis of the literature”, Journal of Interactive Marketing, vol. 28, Issue 3, August 2014, pp. 167–183, https://doi.org/10.1016/j.intmar.2014.02.001
- I. Osmolska, “Word-of-mouth or shady marketing”, Zeszyty Naukowe Wyzszej Szkoły Administracji i Biznesu im. E. Kwiatkowskiego w Gdyni, Zeszyt 22, 2016, Zarzadzanie 1, Gdynia, pp. 301–315.
- M. Gawronska M. (2013) ’Word-of-mouth marketing as a modern form of promotion’, Rynek-Społeczeństwo-Kultura, 2 (6), 2013, pp. 30–35, [in Polish].
- O. Sokolov, W. Osinska, A. Mrela and W. Duch, “Modeling of scientific publications disciplinary collocation based on optimistic fuzzy aggregation norm”, in: J. Swiatek, L. Borzemski, Z. Wilimowska, (eds) Information Systems Architecture and Technology: Proc. of 39th International Conference on Information Systems Architecture and Technology ISAT 2018. ISAT 2018. Advances in Intelligent Systems and Computing, vol 853. Springer, Cham. https://doi.org/10.1007/978-3-319-99996-8-14
- V. Osinska and P. Bala, “New methods for visualization and improvement of classification schemes: the case of computer science”, Knowledge Organization, vol. 37, no 3, 2010, pp. 157–172, https://doi.org/10.5771/0943-7444-2010-3-157