Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
Automated methods for conducting an argumented dialogue with the user. / Palchunov, Dmitry; Yakobson, Alexander.
2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON). Institute of Electrical and Electronics Engineers (IEEE), 2022. стр. 880-885.Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
}
TY - GEN
T1 - Automated methods for conducting an argumented dialogue with the user
AU - Palchunov, Dmitry
AU - Yakobson, Alexander
N1 - The study was carried out within the framework of the state contract of the Sobolev Institute of Mathematics (project no. FWNF-2022-0011).
PY - 2022
Y1 - 2022
N2 - Human-computer interaction in the modern world has become a necessity, but the lack of user confidence in automatic systems creates great difficulties in their implementation. The problem is that in each case it is often impossible to understand the reasons for the decision. Therefore, the user has to try to find the arguments for this solution proposed by the system. The purpose of the work is to create an intelligent assistant capable of arguing his decisions, thereby strengthening the user's confidence in the correctness of his advice. The development of an intelligent assistant is based on a three-level semantic user model and an ontological domain model. The developed software package is designed to work as a virtual digital assistant in various fields. The implemented methods are based on the application of partial models and ontological homomorphisms. The system allows the user to search for the desired solution using the theory of argumentation and case-based reasoning, receiving a reasoned answer with a clear and transparent argumentation tree.
AB - Human-computer interaction in the modern world has become a necessity, but the lack of user confidence in automatic systems creates great difficulties in their implementation. The problem is that in each case it is often impossible to understand the reasons for the decision. Therefore, the user has to try to find the arguments for this solution proposed by the system. The purpose of the work is to create an intelligent assistant capable of arguing his decisions, thereby strengthening the user's confidence in the correctness of his advice. The development of an intelligent assistant is based on a three-level semantic user model and an ontological domain model. The developed software package is designed to work as a virtual digital assistant in various fields. The implemented methods are based on the application of partial models and ontological homomorphisms. The system allows the user to search for the desired solution using the theory of argumentation and case-based reasoning, receiving a reasoned answer with a clear and transparent argumentation tree.
UR - https://www.scopus.com/inward/record.url?eid=2-s2.0-85147513216&partnerID=40&md5=7f85f0b301ad48aae63af93e57b59592
UR - https://www.mendeley.com/catalogue/07b2a9c2-d813-3458-a1bf-4289639d163c/
U2 - 10.1109/sibircon56155.2022.10016975
DO - 10.1109/sibircon56155.2022.10016975
M3 - Conference contribution
SN - 9781665464802
SP - 880
EP - 885
BT - 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)
PB - Institute of Electrical and Electronics Engineers (IEEE)
T2 - 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2022
Y2 - 11 November 2022 through 13 November 2022
ER -
ID: 45960045