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Natural Selection as Symbolic Compression: A Recursive Entropy Framework
We upgrade the symbolic entropy model of natural selection by replacing black-box notions of fitness and selection with formal, mechanistic counterparts. Using the Double Bind Machine (DBM) and symbolic one-way function logic, we redefine fitness as escape from contradictory evolutionary demands, model selection as minimizing risk of failure (q$_{\text{openaire +1 more source
Frame-Aware Compression: Recursive Symbolic Encoding for Structured Data
Traditional compression algorithms treat data as flat symbol streams, optimizinglocal redundancy without regard to the data’s internal structure. In contrast, manyreal-world data types—such as source code, configuration files, structured markup, and logical models—exhibit deeply recursive symbolic organization. This paper introduces a formal frameworkopenaire +1 more source
Symbolic high-order Markov chains: Entropy and compressibility
Physical Review E, 2018S. S. Melnik, O. V. Usatenko
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Planning chemical syntheses with deep neural networks and symbolic AI
Nature, 2018Marwin H S Segler, Mark P Waller
exaly
Draft — Symbolic Compression and the UAU Formula (Sep 2, 2025)
This record is an early draft of the Univers Logos — UAU project. It contains preliminary versions of the texts “The Birth of the Symbolic Language — From UAU to ⟁” and “Symbolic Compression and Social Knowledge — The Case of ⟁ and the UAU Formula”. The record is not a final publication but should be considered part of the draft history.openaire +1 more source
Symbolic Compression and Processing of Document Images
1997Rama Chellappa +3 more
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