Holoadaptive Calculus: A Conceptual Framework for Multidimensional Adaptive Mathematical Structures

This paper introduces a conceptual framework for what we term "Holoadaptive Calculus"—a proposed systematic approach to mathematical operations that integrate multiscale, temporal, stochastic, fractal, cognitive, quantum, and hybrid dimensions simultaneously. We present a matrix taxonomy generating 100 distinct calculus-type operations organized along seven dimensional axes and four operational categories. This work is explicitly positioned as an exploratory introduction rather than a fully axiomatized mathematical theory. We identify conceptual gaps in current mathematical frameworks, propose naming conventions for potential new structures, and outline rigorous pathways for future formalization. The primary contribution is taxonomic and conceptual: organizing a coherent framework for thinking about adaptive, context-dependent mathematical operations that may extend beyond classical and modern calculus paradigms. Classification: Mathematics Subject Classification 2020: 00A69 (General), 46-02 (Research exposition)

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-01
DOI
https://doi.org/10.5281/zenodo.17245807
Primary Topic
Occupational Health and Global Justice
Type
article
Field-Weighted Citation Impact
0.00
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article

Holoadaptive Calculus: A Conceptual Framework for Multidimensional Adaptive Mathematical Structures

Zenodo (CERN European Organization for Nuclear Research)
Occupational Health and Global Justice
article

Holoadaptive Calculus: A Conceptual Framework for Multidimensional Adaptive Mathematical Structures

article en

Abstract

This paper introduces a conceptual framework for what we term "Holoadaptive Calculus"—a proposed systematic approach to mathematical operations that integrate multiscale, temporal, stochastic, fractal, cognitive, quantum, and hybrid dimensions simultaneously. We present a matrix taxonomy generating 100 distinct calculus-type operations organized along seven dimensional axes and four operational categories. This work is explicitly positioned as an exploratory introduction rather than a fully axiomatized mathematical theory. We identify conceptual gaps in current mathematical frameworks, propose naming conventions for potential new structures, and outline rigorous pathways for future formalization. The primary contribution is taxonomic and conceptual: organizing a coherent framework for thinking about adaptive, context-dependent mathematical operations that may extend beyond classical and modern calculus paradigms. Classification: Mathematics Subject Classification 2020: 00A69 (General), 46-02 (Research exposition)

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 40%
Occupational Health and Global Justice
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