ATMHybridSoftmaxEmergent: Memory-Based Adaptive Agent with Emergent Behavior

📖 Описание: This project introduces a novel memory-based intelligent agent, ATMHybridSoftmaxEmergent, capable of real-time adaptation and emergent behavior without gradient-based learning. Through dynamic softmax temperature control, error-focused memory, and explainable action selection, the system demonstrates cognitive-like decision-making suitable for non-gradient AI research. The agent operates purely on behavioral feedback, memory similarity, and contextual encoding, challenging conventional neural architectures by enabling efficient and interpretable learning on minimal hardware. Автор: Бато Найданов Автор: Бато Найданов ([email protected]) № 1-14916778941 Телеграмма: @BATONAIDANOV