GENERATIVE COGNITION ENGINES FOR SELF-EVOLVING ARCHITECTURE FOR CROSS-MODAL CREATIVITY, INTENT-AWARE SYNTHESIS, AND ETHICAL CONSTRAINT EMBEDDING AUTONOMOUS GENERATIVE INTELLIGENCE: INTEGRATING MEMORY-AUGMENTED TRANSFORMERS AND MULTI-AGENT COLLABORATI

In the era of increasingly autonomous generative systems, this paper proposes a self-evolving architecture for generative cognition engines that fuse intent-aware synthesis with ethical constraint embedding. By integrating memory-augmented transformers and collaborative multi-agent systems, the architecture aims to generate creative outputs that are not only intelligent and adaptive across modalities (text, image, audio) but also ethically responsible. The framework leverages dynamic memory, cross-modal alignment, and self-evaluation loops to ensure responsible and creative artifact production under shifting user intents and societal norms.