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>).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
rolling linux/jammy R-4.5 | AntsNet_1.0.0.tar.gz |
245.5 KiB |
1.0.0 |
rolling linux/noble R-4.5 | AntsNet_1.0.0.tar.gz |
245.4 KiB |
1.0.0 |
rolling source/ R- | AntsNet_1.0.0.tar.gz |
51.4 KiB |
1.0.0 |
latest linux/jammy R-4.5 | AntsNet_1.0.0.tar.gz |
245.5 KiB |
1.0.0 |
latest linux/noble R-4.5 | AntsNet_1.0.0.tar.gz |
245.4 KiB |
1.0.0 |
latest source/ R- | AntsNet_1.0.0.tar.gz |
51.4 KiB |
1.0.0 |
2026-04-26 source/ R- | AntsNet_1.0.0.tar.gz |
51.4 KiB |
1.0.0 |
2026-04-23 source/ R- | AntsNet_1.0.0.tar.gz |
51.4 KiB |