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The marginal likelihood of the evidence takes the standard finite-mixture form: p(e) = X w p(C w)p(e|C w) = X w πw fw(e), whereπ w =p(C w)andf w(e) =p(e|C w)

Connection to Finite Mixture Models:In this interpretation, the constituentC w functions as a latent model index, p(C w)is a mixing weight, andp(e|C w)is a componentspecific li

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Goal-Oriented Semantic Communication for Logical Decision Making

cs.IT · 2026-04-21 · unverdicted · novelty 6.0

A first-order logic grounded semantic communication framework that transmits only decision-critical clauses via semantic rate-distortion and information bottleneck principles while preserving logical verifiability.

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  • Goal-Oriented Semantic Communication for Logical Decision Making cs.IT · 2026-04-21 · unverdicted · none · ref 25

    A first-order logic grounded semantic communication framework that transmits only decision-critical clauses via semantic rate-distortion and information bottleneck principles while preserving logical verifiability.