Cargando…
In-Time Explainability in Multi-Agent Systems: Challenges, Opportunities, and Roadmap
In the race for automation, distributed systems are required to perform increasingly complex reasoning to deal with dynamic tasks, often not controlled by humans. On the one hand, systems dealing with strict-timing constraints in safety-critical applications mainly focused on predictability, leaving...
Autores principales: | Alzetta, Francesco, Giorgini, Paolo, Najjar, Amro, Schumacher, Michael I., Calvaresi, Davide |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7338180/ http://dx.doi.org/10.1007/978-3-030-51924-7_3 |
Ejemplares similares
-
Explainable, transparent autonomous agents and multi-agent systems: first international workshop, EXTRAAMAS 2019, Montreal, QC, Canada, May 13-14, 2019, revised selected papers
por: Calvaresi, Davide, et al.
Publicado: (2019) -
Cohort and Trajectory Analysis in Multi-Agent Support Systems for Cancer Survivors
por: Manzo, Gaetano, et al.
Publicado: (2021) -
Explainable Agents as Static Web Pages: UAV Simulation Example
por: Mualla, Yazan, et al.
Publicado: (2020) -
Agent-Based Explanations in AI: Towards an Abstract Framework
por: Ciatto, Giovanni, et al.
Publicado: (2020) -
Agent-based Modeling for Ontology-driven Analysis of Patient Trajectories
por: Calvaresi, Davide, et al.
Publicado: (2020)