Semantic rate-distortion theory shows that under closure fidelity the rate-distortion function depends only on the irredundant core, yielding zero-distortion rates strictly below classical entropy and semantic leverage in source-channel coding.
Deep learning enabled semantic communication systems,
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Semantic channel theory achieves deductive compression where minimum block length under closure fidelity depends on the irredundant semantic core size rather than full knowledge-base size.
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Semantic Rate-Distortion Theory: Deductive Compression and Closure Fidelity
Semantic rate-distortion theory shows that under closure fidelity the rate-distortion function depends only on the irredundant core, yielding zero-distortion rates strictly below classical entropy and semantic leverage in source-channel coding.
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Semantic Channel Theory: Deductive Compression and Structural Fidelity for Multi-Agent Communication
Semantic channel theory achieves deductive compression where minimum block length under closure fidelity depends on the irredundant semantic core size rather than full knowledge-base size.