Isomorphic Functionalities between Ant Colony and Ensemble Learning: Part III -- Gradient Descent, Neural Plasticity, and the Emergence of Deep Intelligence

ArXi:2604.09677v1 Announce Type: cross In Parts I and II of this series, we established isomorphisms between ant colony decision-making and two major families of ensemble learning: random forests (parallel, variance reduction) and boosting (sequential, bias reduction). Here we complete the trilogy by nstrating that the fundamental learning algorithm underlying deep neural networks -- stochastic gradient descent -- is mathematically isomorphic to the generational learning dynamics of ant colonies.