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AntsNet  

Unified Simulation of Isomorphisms Between Ant Colony Intelligence and Machine Learning
View on CRAN: Click here


Download and install AntsNet package within the R console
Install from CRAN:
install.packages("AntsNet")

Install from Github:
library("remotes")
install_github("cran/AntsNet")

Install by package version:
library("remotes")
install_version("AntsNet", "1.0.0")



Attach the package and use:
library("AntsNet")
Maintained by
Yuval Levental
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-21
Latest Update: 2026-04-21
Description:
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>).
How to cite:
Yuval Levental (2026). AntsNet: Unified Simulation of Isomorphisms Between Ant Colony Intelligence and Machine Learning. R package version 1.0.0, https://cran.r-project.org/web/packages/AntsNet. Accessed 25 Oct. 2026.
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Complete documentation for AntsNet
Functions, R codes and Examples using the AntsNet R package
Full AntsNet package functions and examples
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