A cellular model of swarm intelligence in bees and robots

We present here a simple cellular model of random motion and social interaction of young honeybees making swarm intelligent decisions in complex dynamic temperature fields. We model also behaviors of stationary robots that affect those bees. Our study looks for a first as-simple-as-possible approach towards modeling such a bio-hybrid system. Our model predicts observed collective behaviors qualitatively very well by modeling a correlated random walk and a simple social interaction mechanism. We found that even a very simple 2-dimensional cellular model with a limited state space of 16 bit per cell suffices. Ultimately, the simplicity of the model allows fast and distributed computation. This will allow us to search for interesting swarm intelligent robotic algorithms for creating novel bio-hybrid systems composed by real animals and autonomous rule-driven cellular robots by using stochastic optimization techniques. CCS Concepts •General and reference → General conference proceedings; •Computing methodologies → Multi-agent systems; Artificial life; Mobile agents; Agent / discrete models; Cooperation and coordination;