9 citations · 11 across the 5 of their papers we have counts for
5 papers
Artificial collectives of specialists and generalists excel at different tasks
John Meluso, Laurent Hébert-Dufresne, Christoph Riedl +1
Collective artificial intelligence, where multiple agents work on shared tasks, holds potential to solve expansive problems in fields from medicine to collective governance. But wh…
Invisible Labor in Open Source Software Ecosystems
John Meluso, Amanda Casari, Katie McLaughlin +1
Invisible labor is work that is either not fully visible or not appropriately compensated. In open source software (OSS) ecosystems, essential tasks that do not involve code (like…
Multidisciplinary learning through collective performance favors decentralization
John Meluso, Laurent Hébert-Dufresne
Many models of learning in teams assume that team members can share solutions or learn concurrently. However, these assumptions break down in multidisciplinary teams where team mem…
Hierarchical team structure and multidimensional localization (or siloing) on networks
Laurent Hébert-Dufresne, Guillaume St-Onge, John Meluso +2
Knowledge silos emerge when structural properties of organizational interaction networks limit the diffusion of information. These structural barriers are known to take many forms…
A Review & Framework for Modeling Complex Engineered System Development Processes
John Meluso, Jesse Austin-Breneman, James P. Bagrow +1
Developing complex engineered systems (CES) poses significant challenges for engineers, managers, designers, and businesspeople alike due to the inherent complexity of the systems…