Author:

Keywords:

ant colony optimization (aco), interconnected learning automata, multiagent systems (mas), optimization, system, Science & Technology, Technology, Automation & Control Systems, Computer Science, Artificial Intelligence, Computer Science, Cybernetics, Computer Science, ant colony optimization (ACO), multiagent systems (MAS), 0102 Applied Mathematics, 0801 Artificial Intelligence and Image Processing, 0906 Electrical and Electronic Engineering, Artificial Intelligence & Image Processing, 4602 Artificial intelligence, 4603 Computer vision and multimedia computation, 4611 Machine learning

Abstract:

Originally, learning automata (LAs) were introduced to describe human behavior from both a biological and psychological point of view. In this paper, we show that a set of interconnected LAs is also able to describe the behavior of an ant colony, capable of finding the shortest path from their nest to food sources and back.