Auto-scaling LLM-based multi-agent systems through dynamic integration of agents
These findings highlight the potential of dynamic LLM-based MASs to overcome the limitations of static architectures to address complex real-world challenges, paving the way for innovative applications across diverse domains.
Authors
- Manjusri Wickramasinghe (ORCID: https://orcid.org/0000-0002-0725-5124)
- Ravindu Perera (ORCID: https://orcid.org/0000-0002-2400-2620)
- Anuradha Basnayake
Institutions
- University of Auckland (NZ)
- University of Colombo (LK)
Publication Details
- Journal
- Frontiers in Artificial Intelligence
- Published
- 2025-09-12
- DOI
- https://doi.org/10.3389/frai.2025.1638227
- Citations
- 2
- Primary Topic
- Topic Modeling
- Type
- article
- Field-Weighted Citation Impact
- 4.96