Research outputs from ARGOS, an evaluative AI framework for hypothesis-driven strategic decision-making in small and medium-sized enterprises. Instead of issuing a recommendation and leaving its basis implicit, the system anchors every claim to a source, preserves contradictions as contradictions, and exposes the reasoning for inspection — so that whoever answers for a decision can challenge it.
This community collects the software, data, and publications produced by the project, developed as part of an industrial doctorate at the Universitat Oberta de Catalunya with collaborators at Universidad Rey Juan Carlos and the Center for Hybrid Intelligence (Aarhus BSS).
Every deposit states the licence it was deliberately given, and what that licence does not cover. The project's data management plan, which explains why each output is open or restricted, is published separately under CC BY (doi:10.5281/zenodo.23071888).
Awards
- Agència de Gestió d'Ajuts Universitaris i de Recerca