Autonomous Knowledge Formation in Artificial Intelligence Systems Under Open-Ended Environments
Keywords:
Autonomous knowledge formation, open-ended learning, cognitive autonomy, adaptive AI, artificial general intelligence, knowledge emergenceAbstract
The emergence of open-ended environments in artificial intelligence (AI) presents a paradigm shift in how intelligent agents acquire, represent, and utilize knowledge. Unlike conventional task-specific systems, open-ended systems require agents to autonomously form knowledge through continuous interaction with dynamic, uncertain, and evolving environments. This paper explores recent advances in autonomous knowledge formation, highlighting the architectural, cognitive, and computational mechanisms that enable self-driven learning and adaptation. We integrate insights from developmental robotics, lifelong learning, and intrinsic motivation frameworks, and propose an updated conceptual and practical framework for knowledge emergence. A comprehensive literature review is included to establish the historical trajectory of research, alongside visual illustrations of knowledge dynamics and architectures.
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Copyright (c) 2026 Aman Gupta, Sai Prakash Narasingu (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
