Simple Model of Learning and Collective Decision Making during Nectar Source Selection by Honey Bees

Swarm Robotics is an area of active research interest where groups of robots coordinate and perform collective tasks. Existing approaches to Learning and Collective Decision Making amongst a group of robots is complex. In this paper, we propose a simple model of learning and collective decision making in honey bees engaged in foraging for suitable nectar-sites. Our simple model takes into consideration discrete numbers of bees and considers affects of noise and randomness. We achieve this by using an algorithm for exact stochastic simulation used in physical chemistry. Using this model, we wish to understand the autonomous learning and collective decision making process that a swarm of robots might employ.