On comparative analogy between ant colony systems and neural networks considering behavioral learning performance

Abstract

This work introduces an investigational analysis for analogy between two naturally inspired systems. It considers comparatively interdisciplinary study of behavioral learning phenomena observed by two biological systems. More specifically, these systems are associated with an Ant Colony System (ACS), and Pavlovian's results. The suggested systems are characterized by some clearly distinct differences. In some details, they are essentially differing from each other as follows. Any swarm smarts system is characterized by distributed communication performing cooperative learning (distributed intelligence). However, the other biological neural network system is based on behavioral brain learning (connectionist learning). Herein, both systems are presented as two simulated behavioral models on biological basis. Nevertheless, from then contradictory characterized features, both systems commonly seemed to obey originally natural principles of biological information processing. Conclusively, this paper includes basic principles of solving Traveling Salesman Problem (TSP) using ACS. That is compared analogously with obtained results by Pavlov's psycho-learning experimental work. Finally, presented analogy seems to be promisingly adopted for of some extended future biological behavioral study. Copyright © 2009 by IICAI.