Abstract. MKM has been defined as the quest for technologies to manage mathematical knowledge. MKM “in the small” is well-studied, so the real problem is to scale up to large,...
Michael Kohlhase, Florian Rabe, Vyacheslav Zholude...
Scalability is a many-sided property which can be captured in a scalability metric that balances cost, volume, timeliness and other attirbutes of value in the system, as a functio...
As the number of people browsing the world-wide web increases explosively, workload of popular web servers also increases rapidly. A multicomputer system that was designed for I/O...
Genetic regulatory networks have been modeled as discrete transition systems by many approaches, benefiting from a large number of formal verification algorithms available for the ...
Hierarchical reinforcement learning has been proposed as a solution to the problem of scaling up reinforcement learning. The RLTOPs Hierarchical Reinforcement Learning System is an...