STiMUS

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.
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

STiMUS

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• Yevgeny Patarakin (2026, July 22). “STiMUS: A Stigmergic–Mutualistic Agent-Based Model of Teamwork on Shared Digital Artefacts (IMOI)” (Version 1.1.0). CoMSES Computational Model Library. Retrieved from: https://doi.org/10.25937/4tr5-dv72