| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0640202 |
| utime |
20251103152839.7 |
| mtime |
20251020235959.9 |
| SCOPUS |
105016552155 |
| DOI |
10.1007/978-3-032-04555-3_29 |
| title
(primary) (eng) |
Targeted Trust-Based Merging of Customers’ Opinions |
| specification |
| page_count |
15 s. |
| media_type |
E |
|
| serial |
| ARLID |
cav_un_epca*0640201 |
| ISBN |
978-3-032-04554-6 |
| ISSN |
Artificial Neural Networks and Machine Learning – ICANN 2025 |
| title
|
Artificial Neural Networks and Machine Learning – ICANN 2025 |
| part_num |
4 |
| page_num |
351-365 |
| publisher |
| place |
Cham |
| name |
Springer |
| year |
2025 |
|
| editor |
| name1 |
Ružejnikov |
| name2 |
Jurij |
|
| editor |
| name1 |
Guy |
| name2 |
Tatiana Valentine |
|
|
| keyword |
Decision-making |
| keyword |
Fully probabilistic design |
| keyword |
Knowledge representation |
| keyword |
Opinion dynamics |
| keyword |
Opinion merging |
| keyword |
Trust |
| author
(primary) |
| ARLID |
cav_un_auth*0491463 |
| name1 |
Ružejnikov |
| name2 |
Jurij |
| institution |
UTIA-B |
| full_dept (cz) |
Adaptivní systémy |
| full_dept (eng) |
Department of Adaptive Systems |
| department (cz) |
AS |
| department (eng) |
AS |
| country |
CZ |
| share |
80 |
| garant |
K |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101092 |
| name1 |
Guy |
| name2 |
Tatiana Valentine |
| institution |
UTIA-B |
| full_dept (cz) |
Adaptivní systémy |
| full_dept |
Department of Adaptive Systems |
| department (cz) |
AS |
| department |
AS |
| full_dept |
Department of Adaptive Systems |
| share |
20 |
| garant |
S |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
101168272 |
| agency |
POSK EU |
| country |
XE |
| ARLID |
cav_un_auth*0492513 |
|
| abstract
(eng) |
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\nDesign (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\non expert opinions while taking into account agent’s trust in experts. |
| action |
| ARLID |
cav_un_auth*0489695 |
| name |
ICANN 2025: International Conference on Artificial Neural Networks /34./ |
| dates |
20250909 |
| mrcbC20-s |
20250912 |
| place |
Kaunas |
| country |
LT |
|
| RIV |
BA |
| FORD0 |
10000 |
| FORD1 |
10100 |
| FORD2 |
10102 |
| reportyear |
2026 |
| num_of_auth |
2 |
| presentation_type |
PO |
| inst_support |
RVO:67985556 |
| permalink |
https://hdl.handle.net/11104/0371115 |
| cooperation |
| ARLID |
cav_un_auth*0322033 |
| name |
Česká zemědělská univerzita v Praze, Provozně ekonomická fakulta |
| institution |
PEF ČZU |
| country |
CZ |
|
| confidential |
S |
| arlyear |
2025 |
| mrcbU14 |
105016552155 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
WOS |
| mrcbU63 |
cav_un_epca*0640201 Artificial Neural Networks and Machine Learning – ICANN 2025 4 978-3-032-04554-6 0302-9743 351 365 Cham Springer 2025 Lecture Notes in Computer Science 16071 |
| mrcbU67 |
Ružejnikov Jurij 340 |
| mrcbU67 |
Guy Tatiana Valentine 340 |
|