Adaptive Materials with Multiagent Systems

Load bearing structures are typically designed with respect to relevant load cases, assuming static shapes and given material properties that are selected during design and material selection. An example of such a material is a particular class of polymers that are capable of changing their elasticity based on the influence of optical, thermal or electrical fields. One problem to be solved in terms of active intelligent cellular structures is the correlated and self-organizing control of cell response and control and the underlying information organization that must provide robustness and real-time capabilities. We propose a hybrid approach combining mobile and reactive self-organizing multi-agent systems (MAS) and machine learning. The MAS is the essential robust information communication technology (ICT). The agents are executed in material-integrated networks consisting of microcomputers. The simulation and implementation of such complex systems is a major challenge.