Neural Logic & Response Generation

After understanding the user’s intent, LOMX’s Voice Logic Engine creates a structured response pattern. This is not pre written text it’s dynamically generated meaning based on context, memory, and prior inputs.

Mathematical model:

$$R_t = f(C_t, I_t, M_t)$$

Where:

• R_t = Response vector

• C_t = Context embedding

• I_t = Input intent

• M_t = Memory recall

Each response passes through linguistic filters to maintain tone consistency and realism.

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