Using Game Theory for Real-Time Behavioural Dynamics in Microscopic Populations with Noisy Signalling

Abstract

This paper introduces the application of game theory to understand noisy real-time signalling and the resulting behavioural dynamics in microscopic populations such as bacteria and other cells. It presents a bridge between the fields of molecular communication and microscopic game theory. Molecular communication uses conventional communication engineering theory and techniques to study and design systems that use chemical molecules as information carriers. Microscopic game theory models interactions within and between populations of cells and microorganisms. Integrating these two fields provides unique opportunities to understand and control microscopic populations that have imperfect signal propagation. Two examples, namely bacteria quorum sensing and tumour cell signalling, are presented with potential games to demonstrate the application of this approach. Finally, a case study of bacteria resource sharing demonstrates how noisy signalling can alter the distribution of behaviour.