Intuition and Complexity Theory

The connection between complexity of the universe and human intuitionAuthor : Ayman ZadeThis paper presents a novel computational framework proposing that intuition operates as the brain's lossy compression algorithm, processing ~11 million bits/second of subconscious data into ~40 bits/second of conscious prediction. The framework integrates three core discoveries: intuition as pattern-based compression with an "A to Z" cognitive jump, the distinction between epistemic and ontological complexity showing most "complex" systems are merely unpatterned, and prediction as strategic "time warfare"—the only mechanism to gain effective temporal advantage. These elements synthesize into a self-optimizing Circle of Logic with testable predictions across cognitive science, Machine Learning, and strategic theory.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-22
DOI
https://doi.org/10.5281/zenodo.19160611
Primary Topic
Computability, Logic, AI Algorithms
Type
article
Field-Weighted Citation Impact
0.00
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article

Intuition and Complexity Theory

Ayman Zaed
Zenodo (CERN European Organization for Nuclear Research)
Computability, Logic, AI Algorithms
article

Intuition and Complexity Theory

Ayman Zaed
article en

Abstract

The connection between complexity of the universe and human intuitionAuthor : Ayman ZadeThis paper presents a novel computational framework proposing that intuition operates as the brain's lossy compression algorithm, processing ~11 million bits/second of subconscious data into ~40 bits/second of conscious prediction. The framework integrates three core discoveries: intuition as pattern-based compression with an "A to Z" cognitive jump, the distinction between epistemic and ontological complexity showing most "complex" systems are merely unpatterned, and prediction as strategic "time warfare"—the only mechanism to gain effective temporal advantage. These elements synthesize into a self-optimizing Circle of Logic with testable predictions across cognitive science, Machine Learning, and strategic theory.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 11%
Computability, Logic, AI Algorithms
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