HoloMind: A Minimal Autonomous Learning System Driven by Curiosity, Confidence, and Self-Termination
Year: 2025
Type: article
Abstract: HoloMind is a minimal autonomous learning system capable of self-directed learning, curiosity-driven inquiry, and confidence-regulated learning termination. It operates without external reward functions, reinforcement learning, or human feedback. The system architecture includes an embedding-first memory design (STM, MTM, LTM), a curiosity engine, and a reasoning module, demonstrating autonomous learning behavior validated through reproducible test logs.
Author: Hossein, Ghlich oghli
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7116352716
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