Artificial life is a research field that uses artificial systems such as computer simulations to reproduce life phenomena and expand our understanding of life. Artificial life research is mainly concerned with emergent behavior using multi-agent systems, which is a part of artificial intelligence research. Pheromone communication in ants is a study that focuses on the organized behavior of ants that use pheromones to communicate with their fellow ants and efficiently transport food during foraging behavior. Ants have low individual abilities and behave according to simple behavioral principles. In this research, we focused on the efficient activities of ants and applied the foraging behavior of ants to establish an algorithm that mimics it for application to a multi-agent system using their organized behavior. In this paper, we aim to model the foraging behavior of ants, and confirm that our model creates a pheromone trail and that foraging behavior is emergent.