Éderson Passos Silva
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Éderson Passos Silva has a total of 8 co-authors. Here are the top co-authors by number of shared publications:
- Alex Roehrs
UNISINOS
1 shared publication - Cassiano Moralles
Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS)
1 shared publication George Lucas Ebertz Prado
University of Vale do Rio dos Sinos (UNISINOS), So Leopoldo, Brazil
1 shared publication- Luís Antônio Leite Francisco da Costa
University of Vale do Rio dos Sinos (UNISINOS), So Leopoldo, Brazil
1 shared publication - Rafael Kunst
University of Vale do Rio dos Sinos
1 shared publication - Sandro José Rigo
UNISINOS
1 shared publication
Latest Publications
- Top Cited PapersOpen Access
- 25 February 2026
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Access
- Vol. 14, 36176-36190
A Systematic Literature Review of Agentic AI: Definitions, Architectures, and Challenges
This Systematic Literature Review (SLR) synthesizes the rapidly evolving state of Agentic AI, analyzing peer-reviewed studies published between 2021 and 2025. We organize the current body of knowledge into a taxonomy comprising five distinct research fields: Memory Cognition, Networking Systems, Trust Safety, Evaluation Limits, and Applications Use-Cases. Our intersection analysis reveals a research landscape currently in an "exploitation" phase, heavily skewed toward Applications Use-Cases (31.9%) and the practical implementation of Autonomy. While the community is successfully operationalizing existing autonomous capabilities, we identify a critical "research desert" regarding Adaptability and New Models. The findings indicate a scarcity of architectural frameworks designed to support long-term resilience and dynamic behavior modification in unforeseen environments. To advance Agentic AI from brittle prototypes to robust real-world systems, we conclude that future research must pivot from solely demonstrating autonomy toward engineering adaptability and developing novel modeling paradigms that prioritize responsiveness to change.
- 25 February 2026
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Access
- Vol. 14, 36176-36190
Top Cited PapersOpen AccessA Systematic Literature Review of Agentic AI: Definitions, Architectures, and Challenges
This Systematic Literature Review (SLR) synthesizes the rapidly evolving state of Agentic AI, analyzing peer-reviewed studies published between 2021 and 2025. We organize the current body of knowledge into a taxonomy comprising five distinct research fields: Memory Cognition, Networking Systems, Trust Safety, Evaluation Limits, and Applications Use-Cases. Our intersection analysis reveals a research landscape currently in an "exploitation" phase, heavily skewed toward Applications Use-Cases (31.9%) and the practical implementation of Autonomy. While the community is successfully operationalizing existing autonomous capabilities, we identify a critical "research desert" regarding Adaptability and New Models. The findings indicate a scarcity of architectural frameworks designed to support long-term resilience and dynamic behavior modification in unforeseen environments. To advance Agentic AI from brittle prototypes to robust real-world systems, we conclude that future research must pivot from solely demonstrating autonomy toward engineering adaptability and developing novel modeling paradigms that prioritize responsiveness to change.