2015/08/27 by Miriam Malíčková, Malíčková, Miriam, Christian A. Yates +3
Agricultural and Biological Sciences · Biochemistry, Genetics and Molecular Biology · #92B05 #Animal Behavior and Reproduction #Biological Physics (physics.bio-ph) #FOS: Biological sciences #FOS: Physical sciences #Insect and Arachnid Ecology and Behavior #Other Quantitative Biology (q-bio.OT) #Plant and animal studies
paper · pdf · doi:10.48550/arxiv.1508.06816
openalex publication_date 2015/08/27 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Colonies of ants are systems of interacting living organisms in which interactions between individuals and their environment can produce a reliable performance of a complex tasks without the need for centralised control. Particularly remarkable is the process of formation of refined paths between the nest and food sources that is essential for successful foraging. We have designed a simple stochastic off-lattice model of ant foraging in the absence of direct communication. The motion of ants is governed by two components - a random change in direction of motion that improves ability to explore the environment (facilitating food discovery), and a non-random global indirect interaction component based on pheromone signalling. Using numerical simulations we have studied the model behaviour in different parameter regimes and tested the ability of our model ants to adapt to changes in the external environment. The simulated behaviour of ants in the model recapitulated the experimentally observed behaviours of real ants. Furthermore we observe interesting synchronization in ant movement patterns which vary with the diffusion properties of the pheromones.