Molecular Computing: from conformational pattern recognition to complex processing networks

Natural biomolecular systems process information in a radically different manner than programmable machines. Conformational interactions, the basis of specificity and self-assembly, are of key importance. A gedanken device is presented that illustrates how the fusion of information through conformational self-organization can serve to enhance pattern processing at the cellular level. The device is used to highlight general features of biomolecular information processing. We briefly outline a simulation system designed to address the manner in which conformational processing interacts with kinetic and higher level structural dynamics in complex biochemical networks. Virtual models that capture features of biomolecular information processing can in some instances have artificial intelligence value in their own right and should serve as design tools for future computers built from real molecules

On the acquisition of the german plural markings

In the following, we will discuss the acquisition of plural forms in German from the unified perspective of the two, in our opinion compatible, approaches, on the basis of a longitudinal data sample of eight children. There are at least six recordings of each child, all of whom are girls. Together, the data cover the acquisition period from 1;11 to 2;10. One may thus anticipate that the data sample under investigation reflects the transition from purely lexical memorization to the acquisition of regularities or patterns