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Information agenda as an analogue of attention in sociomorphic neuronal networksстатья
- Авторы: Andreyuk D.S., Petrunin Yu, Shuranova A., Ushakov V.L.
- Журнал: Procedia computer science
- Том: 213
- Номер: C
- Год издания: 2022
- Издательство: Elsevier BV
- Местоположение издательства: Netherlands
- Первая страница: 292
- Последняя страница: 295
- Аннотация: Information processing and decision-making performed by a social group can be modelled as a neuronal network activity. Sociomorphic neuronal networks (SNN) are in several ways different from neuromorphic networks; however, the majority of their critical features are similar. This paper describes a mechanism of SNN which functions in the same way as attention does in biological intelligence systems. News agenda serves as an initiating factor for this mechanism. Structured news items are analysed within a group in terms of their relation to the group' structure of values. While current values can differ slightly between the group members, core values are constant for the whole group. The suggested approach provides a basis for developing new tools for modelling information processing in social groups as neuronal network contours.Procedia Computer Science 213C (2022) pp. 292-295
- Добавил в систему: Ушаков Вадим Леонидович