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circuits, and then concerning multipartite processes, in which any of the subsystems may undergo a state transition at any time. These results start to lay the foundation for the theic analysis of distributed
Bereich: SG
resources more accessible by other domains and machines. In this talk, we will introduce the current state of FAIRness of the MII Data Integration centers and will provide a visional outlook on how FDOs can
see how decisions can be made at all without valence, an organism’s attraction or repulsion to a state of affairs based on an assessment of advantage or harm to its functioning. 16.12.2020 Udo Ernst, Linking
distribution of subtasks, requiring means of coordination and possibly communication. During the talk the state of the art in Multi Agent Learning and decision-making as well as open research questions to be addressed
of processing flexibly in dependence of changes in the environment or a change of the motivational state, such as appetite or thirst. These requirements and restrictions imply a need for a mechanism, which
trajectories eventually leading to sporulation. Characterization of the trajectories as walks through states of gene expression allows to reconstruct Petri nets that model and predict the behavior of single
switches, apoptotic signaling cascades and cell locomotion. I will conceptualize the notion of cell states and systems biology modeling of functional modules and discuss the implications of probabilistic
will be important to ensure that the FDO concept will not owned by a company, nor by any particular state. In this talk all mentioned issues will be addressed ending up with a few recommendations to be discussed