Architectural Patterns for Large Language Model–Driven Autonomous Agents: A Systematic Framework for Scalable and Robust Agentic Systems
Abstract
Large Language Models have become efficient reasoning systems that allow autonomous agents who canplan, make decisions, interact with tools, and adapt to the environment. Nevertheless, most deployments are often monolithic in nature and have tightly bound
Fields of Study & Subjects
Advanced Software Engineering Methodologies
AI-based Problem Solving and Planning
Multi-Agent Systems and Negotiation
Publication details
- Journal / source
- Journal of Computational Analysis and Applications
- Volume
- 35
- Issue
- 1
- Publication date
- 1 January 2026