On Analogical Comparison of Ant Colony's Selectivity Decision for Migration to An Optimal Nest Site Versus Reconstruction Problem Solution by a Mouse Inside Figure 8 Maze

Abstract

This research work addresses an interesting interdisciplinary comparative analogical study associated with performance evaluation of two behavioral intelligent learning diverse paradigms. Firstly, that is related tightly to the life style of social insect colony (ants) that living in a competitive, and dynamical environment. Which characterized by constantly changing food sources in their location (distributed sites), and variation of their quantity and quality. Furthermore, most of ant species are dependent upon ephemeral food finds, and in such an environment. There is an advantage of sharing mutual information if it can help the colony direct its workers quickly to an optimally selected best of food sources. Additionally, when an ant was tethered inside an unfamiliar nest site location, and unable to move freely, it is capable to release an alarming pheromone from its mandibular gland that signaled other ants to reject this nest site as to avoid presumable danger. Secondly, this work demonstrated the behavioral algorithmic intelligent approach observed in practice after one of neural animal systems' activities. Namely, a mouse's active trials to reach an optimal solution for a reconstruction problem during its movement inside figure of eight (8) maze