bionic model for control platforms
The complexity of technical systems in automation is rapidly growing and is causing increasing costs. Research has to identify appropriate measures to deal with the increasing complexity; Artificial Intelligence (AI) and Cognitive Science (CS) already show noteworthy results. However, compared to human intelligence those results can only be valued as modest. In the following the authors will try to verify the necessity of developing new principles to model control systems and will try to show, which technical principles and tools are suitable for the defined requirements. However, the challenge will be to accept a new kind of thinking in the bionic world, which will be in accord with scientists of other specific scientific faculties such as neuropsychoanalysis. The goal must be a formal approach in specifying the psyche.
service placement self organization ant colony optimization