0640202 20260225151607.320251020235959.9 105016552155 10.1007/978-3-032-04555-3_29 Targeted Trust-Based Merging of Customers’ Opinions 15 s. E cav_un_epca*0640201978-3-032-04554-6Artificial Neural Networks and Machine Learning – ICANN 2025Artificial Neural Networks and Machine Learning – ICANN 20254351-365ChamSpringer2025RužejnikovJurijGuyTatiana Valentine Decision-making Fully probabilistic design Knowledge representation Opinion dynamics Opinion merging Trust cav_un_auth*0491463 Ružejnikov Jurij UTIA-B Adaptivní systémy Department of Adaptive Systems AS AS CZ 80 K Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101092 Guy Tatiana Valentine UTIA-B Adaptivní systémy Department of Adaptive Systems AS AS Department of Adaptive Systems 20 S Ústav teorie informace a automatizace AV ČR, v. v. i. https://library.utia.cas.cz/separaty/2025/AS/guy-0640202.pdf 101168272 EC XE cav_un_auth*0492513 In this article, we investigate how a rational agent forms their opinion based on prior knowledge, available information, and the opinions of other agents. We propose methodology of how to purposefully merge agent’s opinion and expert opinions. We describe the agent’s opinion and the opinions of experts in the form of distributions. Formulating opinion formation as a decision-making task and solve it using Fully Probabilistic Design (FPD). T o demonstrate our approach, we apply the solution on simulated data describing features of mobile phone brands. Methodology is verified on a test bed example of choosing a mobile phone brand based on expert opinions while taking into account agent’s trust in experts. cav_un_auth*0489695 ICANN 2025: International Conference on Artificial Neural Networks /34./ 20250909 20250912 Kaunas LT BA 10000 10100 10102 2026 2 PO RVO:67985556 https://hdl.handle.net/11104/0371115 cav_un_auth*0322033 Česká zemědělská univerzita v Praze, Provozně ekonomická fakulta PEF ČZU CZ S 2025 105016552155 SCOPUS PUBMED WOS cav_un_epca*0640201 Artificial Neural Networks and Machine Learning – ICANN 2025 4 Springer 2025 Cham 351 365 978-3-032-04554-6 Lecture Notes in Computer Science 16071 0302-9743 Ružejnikov Jurij 340 Guy Tatiana Valentine 340