Active learning algorithms attempt to accelerate the learning process by requesting labels for the most informative items first. In real-world problems, however, there may exist unlabeled items that are irrelevant to the user’s classification goals. Queries about these points slow down learning because they provide no information about the problem of interest. We have observed that when irrelev...

This paper presents JUDGEMAP2 model for judgment based on DUAL cognitive architecture. Context is considered like the content of WM that comprises both some external elements from the surrounding environment and some internal memories elicited from the LTM. The paper focuses on the mechanisms of construction of the dynamic content of the WM. In JUDGEMAP2, the mechanism responsible for building ...

The second postulate of Katsuno and Mendelzon characterizes irrelevant updates. We show that the postulate has to be modified, if nonmonotonic assumptions are considered. Our characterization of irrelevant updates is based on a dependency framework, which provides an alternative semantics of multidimensional dynamic logic programming.

I n computing, we often solve a complex problem by adding another level of indirection. For example, in Unix file systems, an index node, or inode, data structure lets the operating system allocate files concurrently and sparsely while still providing an efficient random-access capability. When we want to customize large, complex systems or express fluid, rapidly changing requirements, we frequ...