The paper presents a case study that investigates programmer learning during incremental program development. Dialog based protocol and protocol analysis are used to explore the l...
The positive region in rough set framework and Shannon conditional entropy are two traditional uncertainty measurements, used usually as heuristic metrics in attribute reduction. ...
Intelligence analysis is a cognitively complex task that is the subject of considerable research aimed at developing methods and tools to aid the analysis process. To support such...
To what extent is it possible to disregard stimulus dimensions that are irrelevant to a certain task? This question was tackled in three experiments using the paradigm of comparat...
Marc Pomplun, E. Carbone, Lorenz Sichelschmidt, B....
The study of concept formation and learning is a central topic in cognitive informatics. Formal concept analysis can be viewed as an approach on this topic based on a formal conte...
We want to design a suitable computer for the efficient execution of the software now being developed that will display human-like cognitive abilities. Examples of these potential...
Knowledge representation is essential for semantics modeling and intelligent information processing. For decades researchers have proposed many knowledge representation techniques...
While many data mining models concentrate on automation and efficiency, interactive data mining models focus on adaptive and effective communications between human users and comp...
The original rough set model is concerned primarily with the approximation of sets described by single binary relation on universe. In the view of granular computing, classical ro...