The generalization of policies in reinforcement learning is a main issue, both from the theoretical model point of view and for their applicability. However, generalizing from a se...
In this chapter, we explore the emerging research domain of modeldriven software refactoring. Program refactoring is a proven technique that aims at improving the quality of sourc...
Knowledge representation is essential for semantics modeling and intelligent information processing. For decades researchers have proposed many knowledge representation techniques...
Superimposition is a composition technique that has been applied successfully in many areas of software development. Although superimposition is a general-purpose concept, it has ...
The primary objective of this paper was to examine the extent to which Gutman’s Means-End Chain Model can be used to describe the influences given to the choice of characteristi...