Agentic AI Systems: Architecture and Evaluation Using a Frictionless Parking Scenario
An AI agent is a goal-oriented autonomous computational entity that connects reasoning and action using large language models (LLMs) or Large Reasoning Models (LRMs), memory systems, and external tools to achieve contextually intelligent outcomes. An agentic AI system comprises and coordinates multi...
Saved in:
| Main Author: | Alaa Khamis |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11083588/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
LLMAGENTNET: A COLLABORATIVE NETWORK OF AUTONOMOUS AI AGENTS FOR COMPLEX TASK EXECUTION
by: А. Р. Бідочко, et al.
Published: (2025-06-01) -
A Proactive Agent Collaborative Framework for Zero‐Shot Multimodal Medical Reasoning
by: Zishan Gu, et al.
Published: (2025-08-01) -
Agentic LLM-based robotic systems for real-world applications: a review on their agenticness and ethics
by: Emmanuel K. Raptis, et al.
Published: (2025-08-01) -
DAWN: Designing Distributed Agents in a Worldwide Network
by: Zahra Aminiranjbar, et al.
Published: (2025-01-01) -
Large language model agent for nuclear reactor operation assistance
by: Yoon Pyo Lee, et al.
Published: (2025-12-01)