Echo-Semantic Converter (ESC): A Theoretical Model of Cognitive Signal Resonance in Agent Architectures
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This paper proposes a theoretical framework for the Echo-Semantic Converter (ESC), a basic module for transforming discrete semantic input (e.g., text tokens) into dynamic cognitive oscillations within agent-oriented architectures. ESC introduces adaptive frequency modulation, echo integration, and temporal memory toenable resonance-based signal propagation. This model forms a key component of the evolving biomorphic agent system CephaloParrot-Kuramoto.
