STiMUS
Материал из Поле цифровой дидактики
| Описание модели | Distributed team collaboration in multi-layer digital platforms — MediaWiki, GitLab, Trello, Scratch — produces rich, machine-readable traces of coordinated activity. This paper presents a theoretical framework and an agent-based model (ABM) that integrates two complementary mechanisms — stigmergy (indirect coordination through persistent environmental traces) and mutualism (sustained mutual benefit between actors and digital artefacts) — to analyse and interpret these traces. The model, implemented in NetLogo 7, instantiates the IMOI (Input–Mediator–Output–Input) team process framework and operationalises Rubtsov's concept of exchange of action-modes as an emergent property. A critical extension of the framework addresses the growing presence of AI agents — bots, LLM-based assistants, and automated pipelines — as non-human participants in the same collaborative medium. |
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| Область знаний | Информатика, Искусственный интеллект |
| Веб-страница - ссылка на модель | |
| Видео запись | |
| Разработчики | |
| Среды и средства, в которых реализована модель | NetLogo |
| Диаграмма модели | |
| Описание полей данных, которые модель порождает | |
| Модель создана студентами? | Нет |
