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Chapter 1 · 2026

Digital Intelligent World: From Data-Driven AI to Knowledge-Enabled Intelligent Agents

Xiaohu Ge, Zhi Chen, Liang Yan

Abstract

Although the latest artificial intelligence technologies can greatly improve work efficiency by automatically generating feasible solutions in the digital world (DW), they are incapable of discovering or creating new knowledge, i.e., lack of human intelligence or creativity. To break this limitation, this article describes and elaborates the masterplan of the digital intelligent world (DIW), wherein everyone has an intelligent agent (IA) for searching, exchanging, and processing information and knowledge autonomously.

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 Intelligent Agents, Knowledge Market, Digital Intelligent World 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

Intelligent AgentsKnowledge MarketDigital Intelligent WorldData-Driven AI