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Here we investigate the information and knowledge content of the P_ functions via optimization-based understanding rendering. This is achieved by successively integrating higher-order P_ operates up to n=8 and quantitatively evaluating the accuracy associated with the reconstructed systems via unconstrained analytical morphological descriptors (e.g., the lineal-path function). We analyze a broad spectrum of representative