This paper examines possible mechanisms of control and decision-making in Escherichia coli (E.coli) bacteria. In particular, by making use available experimental data, we illustrate that many phenomena can be studied applying viable optimization paradigms. The simulation and data-intensive analysis performed illustrate that the proposed methods suitable to coherently examine complex behavior of biosystems. In particular, bacteria perform the following synergetic functions: intelligence, learning, adaptation, analysis, sensing, decision-making, planning, coordination, etc. For example, complex swarming patterns are observed. The ultimate objective was to develop mathematical foundations and apply the results for complex multi-agent systems that require adaptive distributed control in highly dynamic adverse environments.
Date of creation, presentation, or exhibit
Department, Program, or Center
Microelectronic Engineering (KGCOE)
Lyshevski, Sergey, "Modeling, simulation, control and optimization paradigms for E.coli bacteria" (2003). Accessed from
RIT – Main Campus