HomeResearch LibraryAgentic Artificial Intelligence (AI): Architectures, Ta…
Chapter 7 · 2026

Agentic Artificial Intelligence (AI): Architectures, Taxonomies, and Evaluation of Large Language Model Agents

Arunkumar V, Gangadharan G.R., Rajkumar Buyya

Abstract

Artificial Intelligence is moving from models that only generate text to Agentic AI, where systems behave as autonomous entities that can perceive, reason, plan, and act. This paper investigates architectures and proposes a unified taxonomy that breaks agents into Perception, Brain, Planning, Action, Tool Use, and Collaboration. It also reviews current evaluation practices and highlights open challenges like hallucination in action, infinite loops, and prompt injection, outlining future research directions toward more robust and reliable autonomous systems.

Eigenvector Insight — Zone III / PASF-PADE AnalysisNot part of the original paper
Eigenvector Research — Marco van Hurne
How this paper contributes to solving the Zone III problem (PASF-PADE)

This paper directly addresses one of the core structural challenges in Zone III deployments. The research on Agentic AI, LLM Agents, Architectures provides evidence-based foundations that enterprise architects cannot ignore when designing long-horizon autonomous workflows. The findings challenge the assumption that a base language model — however capable — can handle the complexity of durable, governed, multi-step execution without explicit architectural intervention. For Zone III practitioners, this paper belongs in the required reading list.

Why AI is not sufficient for Zone III without this

Zone III refers to high-complexity, high-risk, long-running agentic workflows — the class of enterprise AI deployments where a single failure can cascade across hundreds of steps. Standard AI models, trained to predict the next token, are not inherently designed for durable, governed, multi-step execution. This paper addresses one or more of the structural gaps that make Zone III deployments unsafe without explicit architectural intervention.

Topics

Agentic AILLM AgentsArchitecturesTaxonomiesEvaluation