Experimental game “Rock-Paper-Scissors” for teams of people and artificial intelligence systems | Sciact - Система учета научной деятельности ИМ СО РАН

Experimental game “Rock-Paper-Scissors” for teams of people and artificial intelligence systems Научная публикация

Конференция

2022 Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine
04-08 июл. 2022 , Новосибирск

Сборник

2022 Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB), 7-8 July, Novosibirsk, Russia
Сборник, 2022. 392 c.

Вых. Данные

Год: 2022, Страницы: 40-43 Страниц : 4 DOI: 10.1109/csgb56354.2022.9865445

Ключевые слова

'4Co' approach; 'wheels for a mind'; anti-problem; author's games; cognitive awareness; experiments; mixed teams; people; robots

Авторы

Burmistrova Nataliya ² , Filimonov Viacheslav ¹

Организации

1	Омский филиал ФГБУН «Институт математики им. С.Л. Соболева СО РАН».
2	Финансовый университет при Правительстве РФ, Омский филиал, г. Омск

Teams involving humans and artificial intelligence systems (robots) are considered. The task is to explain to students the peculiarities of interaction between humans and robots. A variant of the game is proposed that simulates such an interaction in which a mixed team of a human and a robot plays against a large team of people. The author's “4Co” approach is used to structure the task. The concepts of “anti-problematization” and “cognitive awareness” are introduced. The concept of ”wheels for the mind” is proposed to create simple prototypes of similar games and other systems. The results of the author's experiments are presented.

Burmistrova N. , Filimonov V.
Experimental game “Rock-Paper-Scissors” for teams of people and artificial intelligence systems
В сборнике 2022 Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB), 7-8 July, Novosibirsk, Russia. 2022. – C.40-43. DOI: 10.1109/csgb56354.2022.9865445 Scopus OpenAlex

Scopus:	2-s2.0-85138475886
OpenAlex:	W4293812402

БД	Цитирований
Scopus	1