This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
Background: Minimotifs are short peptide sequences within one protein, which are recognized by other proteins or molecules. While there are now several minimotif databases, they a...
Jay Vyas, Ronald J. Nowling, Thomas Meusburger, Da...
Background: In recent years, a considerable amount of research effort has been directed to the analysis of biological networks with the availability of genome-scale networks of ge...
Currently available application frameworks that target the automatic design of real-time embedded software are poor in integrating functional and non-functional requirements for m...
Background: In recent years, an extensive characterization of network structures has been made in an effort to elucidate design principles of metabolic networks, providing valuabl...