In this paper, we pose a novel research problem for machine learning that involves constructing a process model from continuous data. We claim that casting learned knowledge in ter...
Will Bridewell, Pat Langley, Ljupco Todorovski, Sa...
We propose to search for common abstractions for different concurrency models to enable high-level language virtual machines to support a wide range of different concurrency model...
Optimization problems are typically addressed by purely automatic approaches. For multi-objective problems, however, a single best solution often does not exist. In this case, it ...
Autonomous systems operating in real-world environments must plan, schedule, and execute missions while robustly adapting to uncertainty and disturbance. One way to mitigate the e...
In this paper, we describe the concept of ontological design. We show how ontologies can be used as cognitive maps of complex, ill-structured, plastic problems. They can be used t...