Using Game Theory for Real-Time Behavioral Dynamics in Microscopic Populations with Noisy Signaling. (arXiv:1711.04870v2 [q-bio.CB] UPDATED)

This article introduces the application of game theory to understand noisy real-time signaling and the resulting behavioral 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 case studies, namely bacteria quorum sensing and tumor cell signaling, are presented with example games to demonstrate the potential of this approach. 查看全文>>