Cognitive Architecture of Collective Intelligence Based on Social Evidence

Anton Kolonin; Evgenii Vityaev; Yuriy Orlov

doi:10.1016/j.procs.2016.07.467

Cognitive Architecture of Collective Intelligence Based on Social Evidence

Anton Kolonin, Evgenii Vityaev, Yuriy Orlov

Результат исследования: Научные публикации в периодических изданиях › статья по материалам конференции › рецензирование

2 Цитирования (Scopus)

Аннотация

Development of collective intelligence and consciousness starts playing key evolutionary role given spread of social networks and massive Internet communications. Paper considers cognitive model and architecture capable to capture cognitive phenomena in social environments, which could be used for modeling of collective cognition as well as developing practical applications for individual interaction with collective intelligence. The model is evaluated by means of qualitative and quantitative experiments.

Язык оригинала	английский
Страницы (с-по)	475-481
Число страниц	7
Журнал	Procedia Computer Science
Том	88
DOI	https://doi.org/10.1016/j.procs.2016.07.467
Состояние	Опубликовано - 2016
Опубликовано для внешнего пользования	Да
Событие	7th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2016 - Newyok City, Соединенные Штаты Америки Продолжительность: 16 июл 2016 → 19 июл 2016

Доступ к документу

10.1016/j.procs.2016.07.467

Link to publication in Scopus

Fingerprint Подробные сведения о темах исследования «Cognitive Architecture of Collective Intelligence Based on Social Evidence». Вместе они формируют уникальный семантический отпечаток (fingerprint).

Цитировать

@article{0840911f8c2c4477a195d068475b5202,

title = "Cognitive Architecture of Collective Intelligence Based on Social Evidence",

abstract = "Development of collective intelligence and consciousness starts playing key evolutionary role given spread of social networks and massive Internet communications. Paper considers cognitive model and architecture capable to capture cognitive phenomena in social environments, which could be used for modeling of collective cognition as well as developing practical applications for individual interaction with collective intelligence. The model is evaluated by means of qualitative and quantitative experiments.",

keywords = "cognitive architecture collective intelligence, consciousness, knowledge, social evidence",

author = "Anton Kolonin and Evgenii Vityaev and Yuriy Orlov",

year = "2016",

doi = "10.1016/j.procs.2016.07.467",

language = "English",

volume = "88",

pages = "475--481",

journal = "Procedia Computer Science",

issn = "1877-0509",

note = "7th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2016 ; Conference date: 16-07-2016 Through 19-07-2016",

}

Cognitive Architecture of Collective Intelligence Based on Social Evidence. / Kolonin, Anton; Vityaev, Evgenii ; Orlov, Yuriy.

В: Procedia Computer Science, Том 88, 2016, стр. 475-481.

Результат исследования: Научные публикации в периодических изданиях › статья по материалам конференции › рецензирование

TY - JOUR

T1 - Cognitive Architecture of Collective Intelligence Based on Social Evidence

AU - Kolonin, Anton

AU - Vityaev, Evgenii

AU - Orlov, Yuriy

PY - 2016

Y1 - 2016

N2 - Development of collective intelligence and consciousness starts playing key evolutionary role given spread of social networks and massive Internet communications. Paper considers cognitive model and architecture capable to capture cognitive phenomena in social environments, which could be used for modeling of collective cognition as well as developing practical applications for individual interaction with collective intelligence. The model is evaluated by means of qualitative and quantitative experiments.

AB - Development of collective intelligence and consciousness starts playing key evolutionary role given spread of social networks and massive Internet communications. Paper considers cognitive model and architecture capable to capture cognitive phenomena in social environments, which could be used for modeling of collective cognition as well as developing practical applications for individual interaction with collective intelligence. The model is evaluated by means of qualitative and quantitative experiments.

KW - cognitive architecture collective intelligence

KW - consciousness

KW - knowledge

KW - social evidence

UR - http://www.scopus.com/inward/record.url?scp=85006367857&partnerID=8YFLogxK

U2 - 10.1016/j.procs.2016.07.467

DO - 10.1016/j.procs.2016.07.467

M3 - Conference article

AN - SCOPUS:85006367857

VL - 88

SP - 475

EP - 481

JO - Procedia Computer Science

JF - Procedia Computer Science

SN - 1877-0509

T2 - 7th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2016

Y2 - 16 July 2016 through 19 July 2016

ER -