Unified Simulation of Isomorphisms Between Ant Colony Intelligence and Machine Learning R package AntsNet version 1.0.0 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>). Software 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) Yuval Levental <yhl3051@rit.edu> Comprehensive R Archive Network (CRAN) Yuval Levental [aut, cre], Gregory Babbitt [aut], Ernest Fokoué [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=AntsNet/LICENSE) 2026-04-21 application/tgz https://CRAN.R-project.org/package=AntsNet doi:10.32614/CRAN.package.AntsNet