NeuroATM Core v0.1 โ€” Self-Learning AI Logic

๐Ÿ“– Description: First official release of NeuroATM โ€” a self-adaptive behavioral AI core. - Supports memory (short-term, long-term, success-based)- Real-time adaptation without neural networks- Ideal for NPCs, drones, edge AI, and agent-based systems- 100% Python Author: Bato Naidanov ([email protected]) ๐Ÿ›ก๏ธ License: This project is distributed under a multi-license protection stack: Creative Commons BY-NC-SA 4.0 โ€” open for research and educational usehttps://creativecommons.org/licenses/by-nc-sa/4.0/ ๐Ÿชช Author: Bato NaidanovCopyright Registration No. 1-14916778941 Telegram: @BATONAIDANOV

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-05
DOI
https://doi.org/10.5281/zenodo.15587196
Primary Topic
Reinforcement Learning in Robotics
Type
article
Field-Weighted Citation Impact
0.00
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article

NeuroATM Core v0.1 โ€” Self-Learning AI Logic

Zenodo (CERN European Organization for Nuclear Research)
Reinforcement Learning in Robotics
article

NeuroATM Core v0.1 โ€” Self-Learning AI Logic

article en

Abstract

๐Ÿ“– Description: First official release of NeuroATM โ€” a self-adaptive behavioral AI core. - Supports memory (short-term, long-term, success-based)- Real-time adaptation without neural networks- Ideal for NPCs, drones, edge AI, and agent-based systems- 100% Python Author: Bato Naidanov ([email protected]) ๐Ÿ›ก๏ธ License: This project is distributed under a multi-license protection stack: Creative Commons BY-NC-SA 4.0 โ€” open for research and educational usehttps://creativecommons.org/licenses/by-nc-sa/4.0/ ๐Ÿชช Author: Bato NaidanovCopyright Registration No. 1-14916778941 Telegram: @BATONAIDANOV

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 75%
Reinforcement Learning in Robotics
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