Frankenstein V34_35: Emergent Cognitive Agent Without Learning

📖 Описание: Frankenstein V34_35 is the first operational agent based entirely on the Associative-Tokenized Memory (ATP) model. This cognitive agent solves MiniGrid spatial reasoning tasks without any form of training, learning, or reinforcement optimization. Instead of relying on neural networks or gradient-based methods, Frankenstein V34_35 operates through symbolic associations between internal state tokens, hope-triggered motivation impulses, and a monolithic decision structure. All behavioral decisions are produced through intrinsic cognition, not external learning. This validates ATP as a viable alternative to conventional machine learning architectures. Registered under: U.S. Copyright Office Case #1-14916778941Author: Bato NaidanovLicense: CC BY-NC 4.0Date: June 2025 Телеграмма: @BATONAIDANOV