Autonomous Tool-Creation in AI Agents: A Conceptual Framework for Self-Evolving Systems
This paper presents a conceptual framework for autonomous AI agents capable of self-generating tools in real-time, particularly in mission-critical environments like aerospace, medical emergencies, and defense. The proposed architecture enables AI systems to adapt to unforeseen challenges by dynamically constructing new tools, thereby reducing human intervention and enhancing operational efficiency. The paper explores the theoretical foundations, potential applications, and challenges associated with this self-evolving intelligence model.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-04-24
- DOI
- https://doi.org/10.5281/zenodo.15272893
- Primary Topic
- History of Medicine Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00