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



Copyright 2003 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. ISBN: 0-7803-7976-4Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works in February 2014.

Document Type

Conference Proceeding

Department, Program, or Center

Microelectronic Engineering (KGCOE)


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