Structure Complexity Entropy: A Principle for Structural Intelligence in AI

Abstract excerpt

<title>Abstract</title> <p>Human intelligence excels at decomposing complex information into meaningful hierarchical structures, yet this capability remains a fundamental challenge for artificial intelligence. Current approaches, from manual curation to automated clustering, lack a principled way to quantify and autonomously discover such structures, often resulting in rigid binaries or semantically incoherent gr...

Topics

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• Algorithms
• Behavior
• Biological Evolution
• Cells
• Oligonucleotide Array Sequence Analysis
• Polymorphism, Single Nucleotide
• Proteome
• Proteomics

Identifiers and source

Literature Corpus work

7661b6df-1eb1-5f01-a1d6-c0751f94a45f

DOI

10.21203/rs.3.rs-8609404/v1