New paper outlines foundations for autonomous AI agents

By PulseAugur Editorial · [1 sources] · 2026-10-28 04:00

A new arXiv paper titled "From Intelligence to Autonomy: Foundations and Construction of Autonomous Agents for Future Intelligent Systems" explores the conceptual shift from artificial intelligence to true autonomy. The paper defines an autonomous agent as a system capable of maintaining task goals and viability conditions within defined boundaries, utilizing self-models for continuous action and adjustment. It traces the theoretical lineage from biological concepts like homeostasis and autopoiesis to operational frameworks for AI, proposing a four-loop model for task execution, self-maintenance, metacontrol, and learning. AI

IMPACT This paper provides a theoretical framework for developing truly autonomous AI systems, moving beyond current AI capabilities.

RANK_REASON The cluster contains a single academic paper published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]

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Newsworthiness bucket: Tool; The cluster contains a single academic paper published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]
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arXiv cs.LG TIER_1 English(EN) · Hongda Zhang, Ziqing Zhou, Yuning Chen, Linqiang Hu, Yi Liu, Ding Zhou, Zhao Huang, Haining Xu · 2026-10-28 04:00

From Intelligence to Autonomy: Foundations and Construction of Autonomous Agents for Future Intelligent Systems

arXiv:2610.33445v1 Announce Type: new Abstract: Artificial intelligence is moving from one-off perception and generation tasks toward long-term planning, tool use, and interaction with real environments. Greater task competence, however, does not automatically yield autonomy: an …