Опубликована статья Дениса Федянина «Epistemic Mathematical Models for Analyzing Meta-opinions on Social Networks»

В сборнике «Social Computing and Social Media. HCII 2025. Lecture Notes in Computer Science» вышла статья Дениса Федянина. 

Аннотация

The paper proposes a formal model for describing opinions and higher-order opinions (e.g., opinions about opinions) using classical epistemic logic, such as the Kripke structure. Traditionally employed for analyzing knowledge and beliefs, this model is adapted to interpret opinions as beliefs, which is particularly promising for describing human-computer interaction due to its high level of formalization. The study is theoretical and does not rely on empirical data. The result is a model that systematizes the description of opinions and their dynamics, opening new possibilities in the fields of artificial intelligence, social computing, and consensus systems. The major contribution of the work is in applying epistemic logic to the understudied area of higher-order opinions and establishing a new basis for analyzing human-computer interaction.

Fedyanin D. Epistemic Mathematical Models for Analyzing Meta-opinions on Social Networks // Social Computing and Social Media. HCII 2025. Lecture Notes in Computer Science / Ed. by Coman A., Vasilache S. Vol 15787. Cham: Springer, 2025. P. 247–256.