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Enactive AI framework proposed for complex industrial systems

A new conceptual framework called Enactive AI is proposed for enterprise and industrial reasoning, moving beyond large language models to address complex system challenges. This framework integrates organizational and site-specific operational models through Schema Intelligence, guided by an Enactive Decision Cycle for continuous updates. Enactive AI aims to advance AI capabilities from mere model performance to reliable, governable, and socially valuable system-aware action. AI

IMPACT Proposes a new framework for AI in complex systems, shifting focus from model capabilities to reliable, governable action.

RANK_REASON The cluster contains a research paper introducing a new conceptual framework for AI. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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Enactive AI framework proposed for complex industrial systems

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Zuojun Max Shen, Yuan Qu, Pujun Zhang, Anbang Liu, Yunhao Liang ·

    Enactive Artificial Intelligence: A Decision-Centric Architecture for Complex Systems

    arXiv:2608.03413v1 Announce Type: new Abstract: As artificial intelligence (AI) continues to evolve and mature, recent AI practices have moved beyond large language models (LLMs) and text or image generation tasks, increasingly integrating tools, agents, and harnesses to solve re…