AntsNet: Unified Simulation of Isomorphisms Between Ant Colony
Intelligence and Machine Learning
Implements the full suite of simulation, visualization, and
analysis tools for exploring the mathematical isomorphisms between ant
colony decision-making and three major paradigms of machine learning:
random forests (Part I: variance reduction through decorrelation),
boosting (Part II: bias reduction through adaptive recruitment), and
neural networks (Part III: gradient-based generational learning).
Accompanies the trilogy "Isomorphic Functionalities between Ant Colony
and Ensemble Learning" (Fokoué, Babbitt, and Levental, 2026,
<doi:10.48550/arXiv.2603.20328>, <doi:10.48550/arXiv.2604.00038>).
| Version: |
1.0.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
stats, graphics, grDevices, ranger, ggplot2, dplyr, tidyr, patchwork, viridis, ggpubr |
| Suggests: |
shiny, cowplot, knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: |
2026-04-21 |
| DOI: |
10.32614/CRAN.package.AntsNet (may not be active yet) |
| Author: |
Yuval Levental [aut, cre],
Gregory Babbitt [aut],
Ernest Fokoué [aut] |
| Maintainer: |
Yuval Levental <yhl3051 at rit.edu> |
| BugReports: |
https://github.com/ylevental/IsomorphismSim_Full/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/ylevental/IsomorphismSim_Full |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
AntsNet results |
Documentation:
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