International Journal of Science, Engineering and TechnologyAuthors: Assistant Professor Dr. J. Karthegaa,, Assistant Professor Neema Gopal
Abstract: Underneath the surface of obvious ecosystems is a whole other world of amazing complexity and intelligence—the microbial world. Microbes, which include bacteria, fungi, protists, and archaea, are not lone individuals but rather intricate communication networks, which control ecosystem behavior, biogeochemical cycling, and even their hosts' well-being. In this paper, we review existing knowledge about microbial intelligence and communication systems, especially those related to quorum sensing (QS), biofilm formation, electrochemical signaling, and cross-kingdom interactions. We propose a computational approach to modeling microbial communication networks based on graph theory and agent-based modeling (ABM), allowing us to model information exchange and collective decision-making in the hidden ecosystems of soil microbiomes, deep sea hydrothermal vents, and human gut microbiota. Using metatranscriptomics and chemical signal profiling, we illustrate that microbial populations are capable of exhibiting intelligent behavior in terms of problem solving, memory, and optimization, akin to neural networks.
